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Curriculum Vitae – Dr. Yannis Marinakis 1
CURRI CULUM VIT AE
Dr. Yannis Marinakis
Curriculum Vitae – Dr. Yannis Marinakis 2
1. PERSONAL INFORMATION
Name: Yannis Marinakis
Father’s Name: Stavros
Mother’s Name: Sophia
Date of Birth: 25--02--1976
Place of Birth: Chania
Nationality: Greek
Marital status: Single
Position: Assistant Professor, Dr. Production and Management
Engineer
Member of Technical Chamber of Greece since
21/02/2006
Office address: School of Production Engineering and Management,
Decision Support Systems Laboratory,
University Campus, 73100, Chania, Crete, Greece.
Telephone: +30-28210-37288
E-mails : [email protected]
Website: http://users.isc.tuc.gr/~imarinakis/
2. EDUCATION
November 2005: Ph.D. in Operations Research from the Department of Production
Engineering and Management, Technical University of Crete, Greece. Ph.D.
Dissertation: Vehicle Routing in Distribution Problems.
September 2001 - October 2005: Ph.D. Candidate in Operations Research in the
Department of Production Engineering and Management, Technical University of
Crete, Greece.
September 2001: Master‘s Degree in Operations Research from the Department of
Production Engineering and Management, Technical University of Crete, Greece.
M.Sc. Thesis: Development and Application of an Algorithm for the Solution of
the Vehicle Routing Problem.
1999 - 2001: Postgraduate studies in Operations Research in the Department of
Production Engineering and Management, Technical University of Crete, Greece.
September 1999: Engineering Degree from the Department of Production
Engineering and Management, Technical University of Crete, Greece. Diploma
Thesis: Study of the properties of nonlinear optimization algorithms.
1994 - 1999: Studies in the Department of Production Engineering and Management,
Technical University of Crete, Greece.
Curriculum Vitae – Dr. Yannis Marinakis 3
3. TEACHING EXPERIENCE
1. 22/7/2013 – present: Assistant Professor of Stochastic Optimization and
Applications in the School of Production Engineering and Management,
Technical University of Crete, Greece. Technical University of Crete, Greece.
Teaching of the undergraduate courses: Combinatorial Optimization, Game
Theory, Design and Optimization in Supply Chain Management and of the
postgraduate courses: Evolutionary Algorithms and Optimization of Large
Scale Systems.
2. 2/01/2009 – 21/7/2013: Lecturer of Stochastic Optimization and Applications
in the Department of Production Engineering and Management, Technical
University of Crete, Greece. Teaching of the undergraduate courses:
Combinatorial Optimization, Game Theory, Design and Optimization in
Supply Chain Management and of the postgraduate courses: Evolutionary and
Metaheuristic Algorithms (Academic year 2009-2010), Optimization of
Larges Scale Systems (Academic year 2008-2009) and Evolutionary
Algorithms and Optimization of Larges Scale Systems (since the Academic
year 2010-2011).
3. 1/09/2008 - 2/01/2009: Adjunct Lecturer in the Department of Production
Engineering and Management, Technical University of Crete, Greece.
4. March 2006 – June 2008: Teaching to the Postgraduate Studies Programme
in Financial and Management for Engineers in the Department of Financial
and Management Engineering, University of the Aegean, the post graduate
courses: Management of the Supply Chain, Management of Operations and
Production and Computer Programming in Matlab Environment (VERSION
7). More precisely:
Spring Semester of the Academic Year 2007 -- 2008: Department of
Financial and Management Engineering. University of the Aegean.
Responsible for teaching in the Postgraduate Studies Programme in
Financial and Management for Engineers the course Computer
Programming in Matlab Environment (VERSION 7).
Spring Semester of the Academic Year 2006 -- 2007: Department of
Financial and Management Engineering. University of the Aegean.
Responsible for teaching in the Postgraduate Studies Programme in
Financial and Management for Engineers the course Management of
the Supply Chain and Management of Operations and Production.
01/11/06 -- 05/03/07: Department of Financial and Management
Engineering. University of the Aegean. Responsible for teaching in the
Postgraduate Studies Programme in Financial and Management for
Engineers the course Computer Programming in Matlab Environment
(VERSION 7).
Spring Semester of the Academic Year 2005 -- 2006: Teaching of
the Seminar Course of the Postgraduate Studies Programme Computer
Curriculum Vitae – Dr. Yannis Marinakis 4
Programming in Matlab Environment (VERSION 7), Postgraduate
Studies Programme in Financial and Management for Engineers,
Department of Financial and Management Engineering. University of
the Aegean.
5. September 2004 -- February 2005: Department of Electronics,
Technological Institute of Crete - Branch of Chania. Teaching of the
laboratories of the course Informatics ΙΙ.
6. September 2002 -- February 2005: Department of Natural Resources and
Environment, Technological Institute of Crete - Branch of Chania. Teaching
of the laboratories of the courses Envrionmental Statistics, Informatics I and
Informatics II. More pricely:
September 2004 -- February 2005: Teaching of the laboratories of
the course Envrionmental Statistics in the Department of Natural
Resources and Environment, Technological Institute of Crete - Branch
of Chania.
September 2003 -- June 2004: Teaching of the laboratories of the
course Informatics ΙΙ and of the laboratories of the course
Envrionmental Statistics in the Department of Natural Resources and
Environment, Technological Institute of Crete - Branch of Chania.
September 2002 -- June 2003: Teaching of the laboratories of the
course Informatics Ι and Informatics II in the Department of Natural
Resources and Environment, Technological Institute of Crete - Branch
of Chania.
7. September 2000 -- August 2005: Laboratorial Assistant in the Department of
Production Engineering and Management, Technical University of Crete,
Greece for the undergraduate courses Combinatorial Optimization, Game
Theory, Modelling and Optimization of the Supply Chain, and Methodology
of Computing and for the undergraduate courses Heuristic and Metaheuristic
Algorithms, Optimization of Large Scale Systems. More precisely:
01/09/2000 - 28/02/2001: Laboratorial exercises of the course Game
Theory, 7th
semester, Department of Production Engineering and
Management.
01/03/2001 - 31/08/2001: Laboratorial exercises of the course
Combinatorial Optimization, 8th
semester, Department of Production
Engineering and Management.
01/11/2001 - 28/02/2002: Laboratorial exercises of the course
Methodology of Computing, 1st semester, Department of Production
Engineering and Management.
01/03/2002 - 31/08/2002: Laboratorial exercises of the course
Combinatorial Optimization, 8th
semester, Department of Production
Engineering and Management.
01/09/2002 - 28/02/2003: Laboratorial exercises of the course Game
Theory, 7th
semester, Department of Production Engineering and
Management.
Curriculum Vitae – Dr. Yannis Marinakis 5
01/03/2003 - 31/08/2003: Laboratorial exercises of the course
Combinatorial Optimization, 8th
semester, Department of Production
Engineering and Management.
01/09/2003 - 29/02/2004: Laboratorial exercises of the course
Combinatorial Optimization, 7th
semester, Department of Production
Engineering and Management.
01/03/2004 - 31/08/2004: Laboratorial exercises of the course Game
Theory, 4th
semester and laboratorial exercises of the postgraduate
course Heuristic and Metaheuristic Algorithms, Department of
Production Engineering and Management.
01/12/2004 - 31/12/2004: Laboratorial exercises of the course
Modelling and Optimization of the Supply Chain, 9th
semester,
Department of Production Engineering and Management.
01/04/2005 - 30/4/2005, 01/06/2005 - 30/06/2005 and 01/08/2005 -
31/08/2005: Laboratorial exercises of the postgraduate course
Optimization of Large Scale Systems, Department of Production
Engineering and Management.
4. RESEARCH PROJECTS
1. 15/12/2011-31/12/2013: Member of the research team of the research project
―Energy Aware Enterprise Systems for Low-carbon Intelligent
Operations – ARTISAN‖. Financed by the European Union (FP7-ICT
systems for Energy Efficiency) with Scientific Contribution to the project: the
Optimization and the Design of the Algorithms.
2. 1/1/2012-31/12/2013: Member of the research team of the research project
―Improvement of integrity monitoring of piles using computational
dynamics and global optimization‖. Programme for the promotion of the
exchange and scientific cooperation between Greece and Germany.
Programme IKYDA 2012.
3. 01/06/2012-31/07/2012: Member of the research team of the research project
―Utilization of advanced technologies in the payment of use and
management of public parking (Ε PARK)‖. Programme for the scientific
cooperation between Greece and Cyprus 2007-2013.
4. March 2010: Member of the research team for the research project "Study of
the Super Markets stores in the prefecture of Chania - Provision of supply
chain logistics - Creation normative unit for oil-juice."
5. 01/01/07 -- 31/12/07: Member of the research team of the research project
―Design and Implementation of Mixed Interger Programming Problems‖.
Financed by the Project Pythagoras II with Scientific Contribution to the
project: the implementation of Branch and Bound algorithms.
6. September 2001: Research Project INTAS 97-31854/Network for Developing
Theory, Methods and Applications of Nonsmooth Analysis and Optimization.
7. January 2000 – March 2000: Scientific associate in the Institute of
Electronic Structure and Laser, Foundation for Research and Technology,
Heraklion, Crete, Greece.
Curriculum Vitae – Dr. Yannis Marinakis 6
5. FOREIGN LANGUAGES
English
6. PUBLICATIONS
1. Books : 3
2. Journal Papers: 44
Sum of the Impact Factors (year of publication): 43.329
Average of the Impact Factors (year of publication): 1.083
Sum of the Impact Factors (2012): 45.909
Average of the Impact Factors (2012): 1.147
Sum of the Five Year Impact Factors: 52.002
Average of the Five Year Impact Factors: 1.3
3. Papers in Lecture Notes and Books: 29
4. Papers in International Conferences: 20
5. Papers‘ Abstracts in International Conferences: 21
6. Papers in National Conferences: 3
7. Papers‘ Abstracts in National Conferences: 6
8. Total Citations: 905
6.1 Books
1. Yannis Marinakis, Magdalene Marinaki, Nikolaos F. Matsatsinis and
Constantin Zopounidis, (2011), Metaheuristic and Evolutionary Algorithms
in Management Science Problems¸ Klidarithmos, pages 527, Athens, ISBN
978-960-461-422-6 (in Greek).
2. Yannis Marinakis and Athanasios Migdalas, (2008), Modelling and
Optimization of Supply Chain, Sophia Publishers, Thessaloniki, pages 533,
ISBN: 978-960-6706-17-2 (in Greek).
3. Marinakis, Y., Marinaki, Μ.: Mathematical theory of optimization. New
Technologies Edition, Athens. Translation in Greek of the Book: «Du D.-Z.,
Pardalos, P. M., and Wu., W. Mathematical theory of optimization.
Nonconvex optimization and its applications, Kluwer Academic Publishers,
2001», p. 348, 2005, ISBN: 960-8105-79-X.
6.2 Journal Papers
4. M. Marinaki and Y. Marinakis (2015) ―A Hybridization of Clonal Selection
Algorithm with Iterated Local Search and Variable Neighborhood Search for
the Feature Selection Problem‖, Memetic Computing, (accepted)
5. Y. Marinakis and M. Marinaki, (2015) ―Combinatorial Neighborhood
Topology Bumble Bees Mating Optimization for the Vehicle Routing Problem
with Stochastic Demands‖, Soft Computing, 19, 353-373 (Impact Factor
2013: 1.304 – Five Year Impact Factor: 1.464).
6. M. Marinaki, Y. Marinakis and G.E. Stavroulakis (2015) ―Fuzzy control
optimized by a multi-objective differential evolution algorithm for vibration
Curriculum Vitae – Dr. Yannis Marinakis 7
suppression of smart structures‖, Computers and Structures, 147, 126-137.
(Impact Factor 2013: 2.178 – Five Year Impact Factor: 2.676)
7. Y. Marinakis, M. Marinaki and A. Migdalas (2014) ―A Hybrid Clonal
Selection Algorithm for the Location Routing Problem with Stochastic
Demands‖, Annals of Mathematics and Artificial Intelligence, DOI
10.1007/s10472-014-9441-7, (Impact Factor 2013: 0.488)
8. M. Marinaki and Y. Marinakis (2014) ―A Bumble Bees Mating Optimization
Algorithm for the Feature Selection Problem‖. International Journal of
Machine Learning and Cybernetics, DOI 10.1007/s13042-014-0276-7
9. Y. Marinakis and M. Marinaki, (2014) ―A Bumble Bees Mating Optimization
algorithm for the Open Vehicle Routing Problem‖, Swarm and
Evolutionary Computation, 15, 80-94.
10. Y. Marinakis and M. Marinaki, (2013) ―Particle Swarm Optimization with
Expanding Neighborhood Topology for the Permutation Flowshop Scheduling
Problem‖, Soft Computing, 17(7), 1159-1173, DOI: 10.1007/s00500-013-
0992-z (Impact Factor 2013: 1.304 – Five Year Impact Factor: 1.464).
11. Y. Marinakis, G.R. Iordanidou and M. Marinaki, (2013) ―Particle Swarm
Optimization for the Vehicle Routing Problem with Stochastic Demands‖,
Applied Soft Computing, 13, 1693-1704 (Impact Factor 2013: 2.679 – Five
Year Impact Factor: 2.97).
12. Y. Marinakis, (2012), ―Multiple Phase Neighborhood Search GRASP for the
Capacitated Vehicle Routing Problem‖, Expert Systems with Applications,
39, 6807-6815. (Impact Factor 2012: 1.854 – Impact Factor 2013: 1.965 –
Five Year Impact Factor: 2.254).
13. M. Marinaki, Y. Marinakis and G.E. Stavroulakis, (2011) ―Vibration Control
of Beams with Piezoelectric Sensors and Actuators using Particle Swarm
Optimization‖, Expert Systems with Applications, 38, 6872-6883. (Impact
Factor 2011: 2.203 – Impact Factor 2013: 1.965 – Five Year Impact Factor:
2.254).
14. M. Marinaki, Y. Marinakis and G.E. Stavroulakis, (2011), ―Fuzzy Control
Optimized by a Multi-Objective Particle Swarm Optimization Algorithm for
Vibration Suppression of Smart Structures‖, Structural and
Multidisciplinary Optimization, 43, 29-42. (Impact Factor 2011: 1.488 –
Impact Factor 2013: 1.696 – Five Year Impact Factor: 1.599). 15. Y. Marinakis, M. Marinaki and G. Dounias, (2011) ―Honey Bees Mating
Optimization Algorithm for the Euclidean Traveling Salesman Problem‖,
Information Sciences, 181, 4684 – 4698 (Impact Factor 2011: 2.833 – Impact
Factor 2013: 3.893 – Five Year Impact Factor: 3.969).
16. Y. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis,
(2011), ―A Hybrid ACO-GRASP Algorithm for Clustering Analysis‖, Annals
of Operations Research, 188, 343-358. (Impact Factor 2011: 0.840 – Impact
Factor 2013: 1.103 – Five Year Impact Factor: 1.101).
17. Y. Marinakis, M. Marinaki, N. Matsatsinis and C. Zopounidis, (2011),
―Discrete Artificial Bee Colony Optimization Algorithm for Financial
Classification Problems‖, International Journal of Applied Metaheuristic
Computing, 2, 1, 1-17.
18. S. Tsafarakis, Y. Marinakis and N. Matsatsinis, (2011), ―Particle Swarm
Optimization for Optimal Product Line Design‖, International Journal of
Research in Marketing, 28, 13-22. (Impact Factor 2011: 1.662 – Impact
Factor 2012: 1.71 – Five Year Impact Factor: 2.555).
Curriculum Vitae – Dr. Yannis Marinakis 8
19. M. Marinaki, Y. Marinakis and G.E. Stavroulakis, (2010), ―Fuzzy Control
optimized by PSO for vibration suppression of beams‖, Control Engineering
and Practice, 18, 618-629. (Impact Factor 2010: 1.406 – Impact Factor 2013:
1.912 – Five Year Impact Factor: 2.347).
20. Y. Marinakis, M. Marinaki and G. Dounias, (2010), ―A Hybrid Particle
Swarm Optimization Algorithm for the Vehicle Routing Problem‖,
Engineering Applications of Artificial Intelligence, 23, 463-472. (Impact
Factor 2010: 1.344 – Impact Factor 2013: 1.962 – Five Year Impact Factor:
2.176).
21. A. Kornelakis and Y. Marinakis (2010). ―Contribution for optimal sizing of
grid-connected PV-systems using PSO‖, Renewable Energy, 35, 1333-1341.
(Impact Factor 2010: 2.554 – Impact Factor 2013: 3.361 – Five Year Impact
Factor: 3.842).
22. M. Marinaki, Y. Marinakis and C. Zopounidis, (2010), ―Honey Bees Mating
Optimization Algorithm for Financial Classification Problems‖, Applied Soft
Computing, 10, 806-812. (Impact Factor 2010: 2.084 – Impact Factor 2013:
2.679 – Five Year Impact Factor: 2.97).
23. Y. Marinakis and M. Marinaki, (2010), ―A Hybrid Genetic - Particle Swarm
Optimization Algorithm for the Vehicle Routing Problem‖, Expert Systems
with Applications, 37, 1446-1455. (Impact Factor 2010: 1.924 – Impact
Factor 2013: 1.965 – Five Year Impact Factor: 2.254).
24. Y. Marinakis, M. Marinaki and G. Dounias (2010), ―Honey Bees Mating
Optimization Algorithm for Large Scale Vehicle Routing Problems‖
Natural Computing, 9, 5-27. (Impact Factor 2012: 0.683 - Impact Factor
2013: 0.539)
25. Y. Marinakis and M. Marinaki (2010), ―A Hybrid Multi-Swarm Particle
Swarm Optimization Algorithm for the Probabilistic Traveling Salesman
Problem‖, Computers and Operations Research, 37, 432-442. (Impact
Factor 2010: 1.769 – Impact Factor 2013: 1.718 – Five Year Impact Factor:
2.335).
26. Y. Marinakis, M. Marinaki, M. Doumpos and C. Zopounidis, (2009), ―Ant
Colony and Particle Swarm Optimization for Financial Classification
Problems‖, Expert Systems with Applications, 36, 7, 10604-10611. (Impact
Factor 2009: 2.908 – Impact Factor 2013: 1.965 – Five Year Impact Factor:
2.254).
27. Y. Marinakis, G. Dounias and J. Jantzen (2009), ―Pap Smear Diagnosis Using
a Hybrid Intelligent Scheme Focusing on Genetic Algorithm Based Feature
Selection and Nearest Neighbor Classification‖, Computers in Biology and
Medicine, 39, 1, 69-78. (Impact Factor 2009: 1.269 – Impact Factor 2013:
1.475 – Five Year Impact Factor: 1.547).
28. M. Doumpos, Y. Marinakis, M. Marinaki and C. Zopounidis, (2009). ―An
Evolutionary Approach to Construction of Outranking Models for
Multicriteria Classification: The Case of the ELECTRE TRI Method‖,
European Journal of Operational Research, 199, 496-505. (Impact Factor
2009: 2.093 – Impact Factor 2013: 1.843 – Five Year Impact Factor: 2.625).
29. Y. Marinakis, M. Marinaki, N. Matsatsinis and C. Zopounidis, (2009).
―Evolution of the Population of a Genetic Algorithm using Particle Swarm
Optimization: Application to Clustering Analysis‖, Operational Research,
An International Journal, 9, 105-120.
Curriculum Vitae – Dr. Yannis Marinakis 9
30. Y. Marinakis, M. Marinaki, G. Dounias, J. Jantzen and B. Bjerregaard, (2009),
―Intelligent and Nature Inspired Optimization Methods in Medicine: The Pap-
Smear Cell Classification Problem‖, Expert Systems. The Journal of
Knowledge Engineering, 26, 5, 433-457. (Impact Factor 2009: 1.231 –
Impact Factor 2013: 0.75 – Five Year Impact Factor: 0.774).
31. Y. Marinakis, A. Migdalas and P.M. Pardalos, (2009), ―Multiple Phase
Neighborhood Search GRASP based on Lagrangean Relaxation, Random
Backtracking Lin-Kernighan and Path Relinking for the Traveling Salesman
Problem‖, Journal of Combinatorial Optimization, 17, 134-156. (Impact
Factor 2009: 0.867 – Impact Factor 2013: 1.043 – Five Year Impact Factor:
0.71).
32. M. Marinaki, Y. Marinakis and C. Zopounidis (2008) ―A Memetic Algorithm
for the Identification of Firms Receiving Qualified Audit Reports‖, Journal of
Computational Optimization in Economics and Finance, Vol. 1, No. 1, 59-
71.
33. Y. Marinakis, M. Marinaki and N. Matsatsinis, (2008), ―A Stochastic Nature
Inspired Metaheuristic for Clustering Analysis‖, International Journal of
Business Intelligence and Data Mining, 3, 1, 30-44.
34. Y. Marinakis and M. Marinaki, (2008), ―A Particle Swarm Optimization
Algorithm with Path Relinking for the Location Routing Problem‖, Journal of
Mathematical Modelling and Algorithms, 7, 1, 59-78.
35. Y. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis,
(2008), ―A Hybrid Stochastic Genetic-GRASP Algorithm for Clustering
Analysis‖, Operational Research, An International Journal, 8, 1, 33-46.
36. Y. Marinakis, M. Marinaki and G. Dounias, (2008), ―Particle Swarm
Optimization for Pap-Smear Diagnosis‖, Expert Systems with Applications,
35, 1645-1656. (Impact Factor 2008: 2.596 – Impact Factor 2013: 1.965 –
Five Year Impact Factor: 2.254)
37. Y. Marinakis, A. Migdalas and P.M. Pardalos, (2008), ―Expanding
Neighborhood Search - GRASP for the Probabilistic Traveling Salesman
Problem‖, Optimization Letters, 2, 3, 351-361. (Impact Factor 2008: 0.528 –
Impact Factor 2013: 0.99 – Five Year Impact Factor: 0.908).
38. Y. Marinakis, M. Marinaki and C. Zopounidis, (2008), ―Application of Ant
Colony Optimization to Credit Risk Assessment‖, New Mathematics and
Natural Computation, 4, 1, 107-122.
39. M. Marinaki, Y. Marinakis, M. Doumpos, N. Matsatsinis and C. Zopounidis,
(2008), ―A Comparison of Several Nearest Neighbor Classifier Metrics Using
Tabu Search Algorithm for the Feature Selection Problem‖, Optimization
Letters, 2, 3, 299-308. (Impact Factor 2008: 0.528 – Impact Factor 2013: 0.99
– Five Year Impact Factor: 0.908)
40. Y. Marinakis and G. Dounias, (2008), ―Nature Inspired Intelligence in
Medicine: Ant Colony Optimization for Pap-Smear Diagnosis‖, International
Journal on Artificial Intelligence Tools (IJAIT), 17, 2, 279-301. (Impact
Factor 2008: 0.667 – Impact Factor 2012: 0.22 – Five Year Impact Factor:
0.402)
41. Y. Marinakis and M. Marinaki, (2008), ―A Bilevel Genetic Algorithm for a
Real Life Location Routing Problem‖, International Journal of Logistics:
Research and Applications, 11, 1, 49-65. (Impact Factor 2010: 0.558 –
Impact Factor 2013: 0.469)
Curriculum Vitae – Dr. Yannis Marinakis 10
42. Y. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis,
(2008), ―Optimization of Nearest Neighbor Classifiers via Metaheuristic
Algorithms for Credit Risk Assessment‖, Journal of Global Optimization,
42, 279-293. (Impact Factor 2008: 1.062 – Impact Factor 2013: 1.355 – Five
Year Impact Factor: 1.391)
43. M. Marinaki, Y. Marinakis and C. Zopounidis, (2007), ―Application of a
Genetic Algorithm for the Credit Risk Assessment Problem‖, Foundations of
Computing and Decisions Sciences, 32, 2, 139-152.
44. Y. Marinakis and A. Migdalas, (2007), ―Annotated Bibliography in Vehicle
Routing‖, Operational Research an International Journal, 7, 1, 27-46.
45. Y. Marinakis, A. Migdalas and P.M. Pardalos, (2007), ―A New Bilevel
Formulation for the Vehicle Routing Problem and a Solution Method Using a
Genetic Algorithm‖, Journal of Global Optimization, 38, 555-580. (Impact
Factor 2007: 0.813 – Impact Factor 2013: 1.355 – Five Year Impact Factor:
1.391)
46. Y. Marinakis, A. Migdalas and P.M. Pardalos, (2005), ―A Hybrid Genetic -
GRASP Algorithm Using Lagrangean Relaxation for the Traveling Salesman
Problem‖, Journal of Combinatorial Optimization, 10, 311-326. (Impact
Factor 2005: 0.291 – Impact Factor 2013: 1.043 – Five Year Impact Factor:
0.71).
47. Y. Marinakis, A. Migdalas and P.M. Pardalos, (2005), ―Expanding
Neighborhood GRASP for the Traveling Salesman Problem‖, Computational
Optimization and Applications, 32, 231-257. (Impact Factor 2005: 0.886 –
Impact Factor 2013: 0.977 – Five Year Impact Factor: 1.432).
6.3 Papers in Lecture Notes and Books
48. Y. Marinakis, M. Politis, M. Marinaki and N. Matsatsinis (2015) ―A Memetic-
GRASP Algorithm for the Solution of the Orienteering Problem‖, MCO 2015,
Le Thi Hoai An, Pham Dinh Tao, Nguyen Ngoc Thanh (Eds.) (accepted)
(Modelling, Computation and Optimization in Information Systems and
Management Sciences, 11-13 May 2015, Metz, France)
49. I.D. Psychas, M. Marinaki and Y. Marinakis (2015) ―A Parallel Multi-Start
NSGA II Algorithm for Multiobjective Energy Reduction Vehicle Routing
Problem‖, EMO 2015, Part I, A. Gaspar-Cunha et al. (Eds.): LNCS 9018,
DOI: 10.1007/978-3-319-15934-8_23, pp. 336–350 (8th
International
Conference on Evolutionary Multi-Criterion Optimization, 29 March – 1 April
2015, Guimaraes, Portugal)
50. Y. Marinakis, M. Marinaki and P. Spanou (2015) ―A Memetic Differential
Evolution Algorithm for the Vehicle Routing Problem with Stochastic
Demands‖, Adaptation and Hybridization in Computational Intelligence,
Adaptation, Learning, and Optimization 18, I. Fister and I. Fister Jr. (eds.),
DOI: 10.1007/978-3-319-14400-9_9, pp. 185-203.
51. Y. Marinakis and A. Migdalas (2014) ―A Particle Swarm Optimization
algorithm for the Multicast Routing Problem‖, Models, Algorithms and
Technologies for Networks Analysis, Springer Proceedings in
Mathematics & Statistics 104, M.V. Batsyn et al. (eds.),DOI 10.1007/978-3-
319-09758-9_7, pp. 69-91.
52. Y. Marinakis and A. Migdalas, (2014), ―Multiobjective Particle Swarm
Optimization for a Multicast Routing Problem‖, Examining Robustness and
Curriculum Vitae – Dr. Yannis Marinakis 11
Vulnerability of Network Systems, S. Butenko et al. (Eds) pp. 161 – 175.
(IOS Press) doi: 10.3233/978-1-61499-391-9-161 (NATO Advanced Research
Workshop, June 3-5, 2013, Kyiv, Ukraine).
53. Y. Marinakis and M. Marinaki, (2014) ―An Adaptive Bumble Bees Mating
Optimization Algorithm for the Hierarchical Permutation Flowshop
Scheduling Problem‖, ANTS 2014, LNCS 8667, M. Dorigo et al. (Eds.):pp.
282–283, 2014 (9th
International Conference on Swarm Intelligence, 10-12
September 2014, Brussels, Belgium).
54. Y. Marinakis, M. Marinaki and A. Migdalas (2014) ―A Hybrid Clonal
Selection Algorithm for the Vehicle Routing Problem with Stochastic
Demands‖, Learning and Intelligent Optimization - LION 8, Lecture
Notes in Computer Science (LNCS 8426), P.M. Pardalos et al. (Eds.), pp
258-273, (16-21 February 2014, Gainesville, Florida-USA).
55. M. Marinaki and Y. Marinakis (2014) ―An Island Memetic Differential
Evolution Algorithm for the Feature Selection Problem‖, Nature Inspired
Cooperative Strategies for Optimization - NICSO 2013, Studies in
Computational Intelligence, Vol 512, G. Terrazas, F.E.B. Otero, A.D.
Masegosa (Eds.), Springer, 29-42 (2-4 September 2013, Canturburry, UK)
56. Y. Marinakis and M. Marinaki (2013) ―A Hybridized Particle Swarm
Optimization with Expanding Neighborhood Topology for the Feature
Selection Problem‖, M.J. Blesa et al. (Eds.): HM 2013, LNCS 7919, pp. 37–
51, ©Springer-Verlag Berlin Heidelberg 2013.
57. Y. Marinakis and M. Marinaki (2013) ―A Bilevel Particle Swarm
Optimization Algorithm for Supply Chain Management Problems‖, E.-G.
Talbi (Ed.): Metaheuristics for Bi-level Optimization, Studies in
Computational Intelligence (SCI) Vol. 482, pp. 69–93. DOI: 10.1007/978-3-
642-37838-6_3 ©Springer-Verlag Berlin Heidelberg 2013
58. Y. Marinakis and M. Marinaki (2013) ―Combinatorial Neighborhood
Topology Particle Swarm Optimization Algorithm for the Vehicle Routing
Problem‖, M. Middendorf and C. Blum (Eds.): EvoCOP 2013, LNCS 7832,
pp. 133–144, (2013 EvoStar, The 13th
European Conference on Evolutionary
Computation in Combinatorial Optimization, 3-5 April 2013 Vienna, Austria).
59. Y. Marinakis and M. Marinaki, (2013), ―A Hybrid Particle Swarm
Optimization Algorithm for the Permutation Flowshop Scheduling Problem‖,
Optimization Theory, Decision Making, and Operational Research
Applications, A. Migdalas et al. (Editors), Springer Proceedings in
Mathematics & Statistics 31, DOI 10.1007/978-1-4614-5134-1_6, © Springer
Science+Business Media New York 2013, 91-101.
60. Y. Marinakis and M. Marinaki, (2012), ―A Hybrid Particle Swarm
Optimization Algorithm for the Open Vehicle Routing Problem‖, ANTS 2012
Lecture Notes in Computer Science (LNCS) 7461, M. Dorigo et al.
(Editors) Springer-Verlag Berlin Heidelberg, 180-187 (8th
International
Conference on Swarm Intelligence, 12-14 September 2012, Brussels,
Belgium).
61. Y. Marinakis and M. Marinaki, (2011), ―De.Lo.S.: A Decision Support
System for Solving Supply Chain Management Problems‖, Proceedings of
the 3rd International Conference on Applied Operational Research –
ICAOR, Lecture Notes in Management Science, 3, Gunalay Y. and
Kadipasaoglu S. (Eds)., 351-363, ISSN 2008-0050. (23-27 August 2011,
Istanbul, Turkey).
Curriculum Vitae – Dr. Yannis Marinakis 12
62. Y. Marinakis and M. Marinaki, (2011), ―Bumble Bees Mating Optimization
Algorithm for the Vehicle Routing Problem‖, Handbook of Swarm
Intelligence – Concepts, Principles and Applications, Bijaya Ketan
Panigrahi, Yuhui Shi and Meng-Hiot Lim (Eds.), Series on Adaptation,
Learning, and Optimization 8, Springer – Verlang, Berlin, 347-369.
63. Y. Marinakis and M. Marinaki (2010) ―Nature Inspired and Classic
Metaheuristic Algorithms for Global Unconstrained Optimization Problems. A
comparative analysis‖, Computational Optimization: New Research
Developments, Richard F. Linton and Thomas B. Carroll Jr. (Eds.), 243-263,
Nova Science Publishers.
64. Y. Marinakis, M. Marinaki and N. Matsatsinis (2010) ―A Bumble bees mating
optimization algorithm for global unconstrained optimization problems‖,
Nature Inspired Cooperative Strategies for Optimization - NICSO 2010,
Studies in Computational Intelligence, 284, J.R. Gonzalez et al. (Eds.),
Springer-Verlag Berlin, 305-318 (12-14 May 2010, Granada, Spain).
65. G.E. Stavroulakis, N. Kaminakis, Y. Marinakis, M. Marinaki (2009),
―Nonconvex, multiobjective problems in topology optimization of
mechanisms‖, Global Optimization, Theory, Models and Applications I,
Lecture Notes in Decision Sciences (LNDS) 12, C. Ma, L. Yu, D. Zhang and
Z. Zhou (Eds.), Global-Link Publishers, Tokyo, 8-14 (First World Congress
on Global Optimization in Engineering and Science WCGO2009, June 1-5
2009, Changsha and Zhangjiajie, China).
66. Y. Marinakis, M. Marinaki and N. Matsatsinis (2009), ―A Hybrid Bumble
Bees Mating Optimization – GRASP Algorithm for Clustering‖, HAIS 2009,
Lecture Notes in Artificial Intelligence (LNΑΙ) 5572, E. Corchado et al.
(Eds.), Springer Verlag Berlin Heidelberg, 549-556, (4th
International
Conference of Hybrid Artificial Intelligence Systems, 10 – 12 June 2009,
Salamanca, Spain).
67. Y. Marinakis, (2009), ―Metaheuristic Algorithms for the Vehicle Routing
Problem‖, Encyclopedia of Optimization, 2nd
Edition, DOI: 10.1007/978-0-
387-74759-0_366, 2055 – 2061, Springer.
68. Y. Marinakis, (2009), ―Heuristic and metaheuristic algorithms for the traveling
salesman problem‖, Encyclopedia of Optimization, 2nd
Edition, DOI:
10.1007/978-0-387-74759-0_262, 1499 – 1506, Springer.
69. Y. Marinakis, (2009), ―Location Routing Problem‖, Encyclopedia of
Optimization, 2nd
Edition, DOI: 10.1007/978-0-387-74759-0_345, 1919 –
1925, Springer.
70. Y. Marinakis, M. Marinaki and N. Matsatsinis, (2008), ―A Hybrid Clustering
Algorithm based on Multi-Swarm Constriction PSO and GRASP‖, DaWaK
2008, Lecture Notes in Computer Science (LNCS) 5182, I.Y. Song, J. Eder,
and T.M. Nguyen (Eds.), Springer-Verlag Berlin Heidelberg, 186-195 (10th
International Conference on Data Warehousing and Knowledge Discovery, 1-
5 September 2008, Turin, Italy).
71. Y. Marinakis, M. Marinaki and N. Matsatsinis (2008) ―A Hybrid Clustering
Algorithm based on Honey Bees Mating Optimization and Greedy
Randomized Adaptive Search Procedure‖, Learning and Intelligent
Optimization - LION 2, Lecture Notes in Computer Science (LNCS) 5313,
V. Maniezzo, R. Battiti and J.P. Watson, Springer-Verlag Berlin Heidelberg,
138-152 (8-12 December 2007, Trento, Italy).
Curriculum Vitae – Dr. Yannis Marinakis 13
72. Y. Marinakis, M. Marinaki and G. Dounias, (2008) ―Honey Bees Mating
Optimization Algorithm for the Vehicle Routing Problem‖, Nature Inspired
Cooperative Strategies for Optimization - NICSO 2007, Studies in
Computational Intelligence, N. Krasnogor, G. Nicosia, M. Pavone, D. Pelta
(Eds.), Springer-Verlag Berlin, Vol. 129, 139-148, (8-10 November 2007,
Acireale, Sicily, Italy).
73. Y. Marinakis, A. Migdalas and P.M. Pardalos, (2008) ―Cost allocation in
Combinatorial Optimization Games‖, Pareto Optimality, Game Theory and
Equilibria, A. Chinchuluun et al. (eds.), Springer, 217-247.
74. Y. Marinakis, M. Marinaki and N. Matsatsinis, (2007), ―A Hybrid Particle
Swarm Optimization Algorithm for Clustering Analysis‖, DaWaK 2007,
Lecture Notes in Computer Science (LNCS) 4654, I.Y. Song, J. Eder, and
T.M. Nguyen (Eds.), Springer-Verlag Berlin Heidelberg, 241-250, (9th
International Conference on Data Warehousing and Knowledge Discovery, 3-
7 September 2007, Regensburg, Germany).
75. Y. Marinakis and A. Migdalas, (2002), ―Heuristic Solutions of Vehicle
Routing Problems in Supply Chain Management‖, Combinatorial and
Global Optimization, P.M. Pardalos et al. (eds.), Scientific World, 205-235.
6.4 Papers in International Conferences
76. Y. Marinakis, M. Marinaki and G.E. Stavroulakis (2013) Nature inspired
algorithms for the vibration control of beams with piezoelectric sensors and
actuators, in CSC2013 The Third International Conference on Soft
Computing Technology in Civil, Structural and Environmental
Engineering, Eds. Y. Tsompanakis, P. Ivanyi and B.H.V. Topping, Civil and
Structural Engineering Computational Methods, 129-156, Cagliari, Sardinia,
Italy 3-6 September 2013 (invited speaker).
77. Y. Marinakis and M. Marinaki, (2013) Combinatorial Expanding
Neighborhood Topology Particle Swarm Optimization for the Vehicle Routing
Problem with Stochastic Demands, GECCO: 2013, Genetic and
Evolutionary Computation Conference, 6-10 July 2013, Amsterdam, The
Netherlands, 49-56.
78. M. Marinaki, Y. Marinakis and G.E. Stavroulakis, (2012), A Differential
Evolution Algorithm for Fuzzy Control of Smart Structures, in Proceedings of
the Eleventh International Conference on Computational Structures
Technology, B.H.V. Topping, (Editor), Civil-Comp Press, Stirlingshire,
United Kingdom, 4-7 September 2012, Dubrovnik, Croatia, paper 277,
doi:10.4203/ccp.99.277
79. Y. Marinakis and M. Marinaki, (2011) A Honey Bees Mating Optimization
Algorithm for the Open Vehicle Routing Problem, GECCO: 2011, Genetic
and Evolutionary Computation Conference, 12-16 July 2011, Dublin,
Ireland.
80. G.E. Stavroulakis, N. Kaminakis, Y. Marinakis and M. Marinaki (2009),
―Multiobjective Global Topology Optimization for Structures and
Mechanisms‖, 2th South East European Conference on Computational
Mechanics, 22-24 June 2009, Rhodes, Greece.
81. Y. Marinakis, M. Marinaki and N. Matsatsinis, (2009), ―A Hybrid Discrete
Artificial Bee Colony – GRASP Algorithm for Clustering‖, 39th
International
Curriculum Vitae – Dr. Yannis Marinakis 14
Conference on Computers and Industrial Engineering, 6 - 8 July 2009,
Troyes, France.
82. Y. Marinakis and M. Marinaki, (2009), ―A Hybrid Honey Bees Mating
Optimization Algorithm for the Probabilistic Traveling Salesman Problem‖,
IEEE Congress on Evolutionary Computation (CEC 2009), 18-21 May
2009, Trondheim, Norway.
83. G.E. Stavroulakis, N. Kaminakis, Y. Marinakis, M. Marinaki and N. Skarros,
(2008), ―Optimal Structural and Mechanism Design using Topology
Optimization‖, International Conference on Modeling and Simulation 08,
18-20 November 2008, Petra, Jordan.
84. Y. Marinakis, M. Marinaki and G.E. Stavroulakis, (2008), Particle Swarm
Optimization Approach for Fuzzy Control of Smart Structures‖, in M.
Papadrakakis, B.H.V. Topping, (Editors), 6th
International Conference on
Engineering Computational Technology (ECT 2008), 2-5 September 2008,
Athens, Greece, Publisher: Civil-Comp Press, Stirlingshire, UK,
doi:10.4203/ccp.89.80.
85. Y. Marinakis, M. Marinaki and N. Matsatsinis, (2008), ―Honey Bees Mating
Optimization for the Location Routing Problem‖, IEEE International
Engineering Management Conference (IEMC – Europe 2008), 28-30 June
2008, Estoril, Portugal.
86. Y. Marinakis, M. Marinaki and G.E. Stavroulakis, (2008), ―Particle Swarm
Optimization for Structural Control‖, 6th
GRACM International Congress
on Computational Mechanics, 19-21 June 2008, Thessaloniki, Greece.
87. Y. Marinakis, M. Marinaki, N. Matsatsinis and C. Zopounidis, (2008), ―A
Memetic-GRASP Algorithm for Clustering‖, 10th
International Conference
on Enterprise Informations Systems (ICEIS), 13-16 June 2008, Barcelona,
Spain.
88. N. Thomaidis, Y. Marinakis, M. Marinaki and G. Dounias, (2007), ―Training
Neural Network Based Models Using Trading Related Objective Functions‖,
NISIS 2007, 3rd
Annual Symposium, 26-27 November 2007, St Julians,
Malta.
89. N. Thomaidis, Y. Marinakis, M. Marinaki and G. Dounias, (2007),
―Optimization of Complex Financial Models Using Nature Inspired
Techniques‖, NISIS 2007, 3rd
Annual Symposium, 26-27 November 2007,
St Julians, Malta.
90. Y. Marinakis, M. Marinaki and G. Dounias, (2007), ―Honey Bees Mating
Optimization Algorithm for Combinatorial Optimization Problems‖, NISIS
2007, 3rd
Annual Symposium, 26-27 November 2007, St Julians, Malta.
91. V. Vassiliadis, N. Thomaidis, Y. Marinakis, M. Michalopoulos, G. Dounias,
(2007), ―Investigating Interrelations of Major International Stock Markets with
the Use of Econometric and Intelligent Approaches‖, SIGEF 2007, XIV
Congress of International Association for Fuzzy-Set Management and
Economy, 1-3 November 2007, Poiana, Brasov, Romania.
92. Y. Marinakis and G. Dounias, (2006), ―Nature Inspired Intelligent Techniques
for Pap Smear Diagnosis: Ant Colony Optimization for Cell Classification‖,
The Pap Smear Benchmark, Intelligent and Nature Inspired Approaches
in Pap Smear Diagnosis, Special Session Proceedings of the NISIS - 2006
Symposium, 35 - 45, November 29 - December 1, 2006, Puerto de la Cruz,
Tenerife, Spain.
Curriculum Vitae – Dr. Yannis Marinakis 15
93. Y. Marinakis and G. Dounias, (2006), ―Pap Smear Diagnosis Using a Hybrid
Intelligent Scheme Focusing on Genetic Algorithm Based Feature Selection
and Nearest Neighbor Classification‖, The Pap Smear Benchmark,
Intelligent and Nature Inspired Approaches in Pap Smear Diagnosis,
Special Session Proceedings of the NISIS - 2006 Symposium, 15-24,
November 29 - December 1, 2006, Puerto de la Cruz, Tenerife, Spain.
94. Y. Marinakis and G. Dounias, (2006), ―Nearest Neighbor Based Pap Smear
Cell Classification Using Tabu Search for Feature Selection‖, The Pap Smear
Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear
Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium,
25-34, November 29 - December 1, 2006, Puerto de la Cruz, Tenerife, Spain.
95. Y. Marinakis, A. Migdalas and L. Pitsoulis, (2002), ―Parallel GRASP for
routing on trees with time windows‖, Proceedings of the 4th
GRACM
Congress on Computational Mechanics, June 2002, Patra, Greece.
6.5 Papers’ Abstracts in International Conferences
96. Y. Marinakis, M. Marinaki and A. Migdalas, (2015) ―A Tree Neighborhood
Topology Particle Swarm Optimization Algorithm for the Vehicle Routing
Problem with Stochastic Travel and Service Times‖, World Congress on
Global Optimization – WCGO 2015, 22-25 February 2015, Gainesville,
Florida, USA
97. Y. Marinakis, M. Marinaki and A. Migdalas, (2014) ―An Adaptive Particle
Swarm Optimization Algorithm for the Vehicle Routing Problem with Time
Windows‖, LOT 2014, Logistics, Optimization and Transportation
Conference, 1-2 November 2014 Molde Norway
98. Y. Marinakis and M. Marinaki (2014), ―A GRASP Algorithm with Path
Relinking for the Multi-depot Location Routing Problem with Stochastic
Customers‖, IFORS 2014, 20th Conference of the International Federation
of Operational Research Societies, Barcelona, July 13-18, 2014
99. Y. Marinakis and M. Marinaki, (2014) ―A Multi-Start Variable Neighborhood
Search Algorithm with Path Relinking for the Location Routing Problem with
Stochastic Demands‖, VeRoLog 2014, Third meeting of the EURO Working
Group on Vehicle Routing and Logistics Optimization, Oslo 22-25 June 2014
100. M. Marinaki and Y. Marinakis, (2014) ―An Evolutionary – GRASP Algorithm
with Path Relinking for the Vehicle Routing Problem with Stochastic
Demands‖, VeRoLog 2014, Third meeting of the EURO Working Group on
Vehicle Routing and Logistics Optimization, Oslo 22-25 June 2014
101. Y. Marinakis, M. Marinaki and A. Migdalas (2014) ―Adaptive Tunning of All
Parameters in a Multi-Swarm Particle Swarm Optimization Algorithm. An
Application to the Probabilistic Traveling Salesman Problem‖, Optimization,
Control and Applications in the Information Age, June 15-20, 2014
Meliton Hotel, Porto Carras, Neos Marmaras, Sithonia, Chalkidiki, Greece
102. Y. Marinakis, A. Migdalas (2013) ―An Artificial Bee Colony algorithm for
Multicast Routing Problems‖, XI Balcan Conference on Operational
Research BALCOR 2013, Belgrade & Zlatibor, 7-11 September, 2013
103. Y. Marinakis and A. Migdalas, (2013), Heuristic and Metaheuristic Routing,
3rd
International Conference on Network Analysis, May 20 – 22, 2013 in
Nizhny Novgorod, Russia.
Curriculum Vitae – Dr. Yannis Marinakis 16
104. Y. Marinakis, A. Migdalas and A. Sifaleras (2012), ―A hybrid Particle Swarm
Optimization - Variable Neighborhood Search Algorithm for Constrained
Shortest Path Problems‖, EUROmC – XXVIII – VNS Conference, 4-7
October 2012, Herceg Novi, Montenegro.
105. Y. Marinakis, M. Marinaki, N. Matsatsinis and C. Zopounidis, (2010), ―A
Nature Inspired Multiobjective Optimization Algorithm for Supply Chain
Management Problem‖, 72th Meeting of the Working Group ―Multiple
Criteria Decision Aiding‖, 7-9 October 2010, Paris, France.
106. M. Marinaki, Y. Marinakis, C. Zopounidis, (2010), ―A Clonal Selection
Algorithm for Financial Classification Problems‖, 9th
Special Conference of
HELORS on ―Quantitative Models in the Managerial and Financial
Decision Making‖, 27-29 May 2010, Agios Nikolaos, Crete, Greece.
107. M. Doumpos, Y. Marinakis, M. Marinaki, C. Zopounidis, (2007),
―Evolutionary approaches for the development of outranking relation models
in classification problems‖, 66th Meeting of the European Working Group
―Multiple Criteria Decision Aiding‖, 18-20 October 2007, Marrakesh,
Morocco.
108. Y. Marinakis, M. Marinaki and N. Matsatsinis, (2007), ―A Stochastic Nature
Inspired Metaheuristic for Clustering Analysis‖, Book of Abstracts 22nd
European Conference on Operational Research EURO XXII, 8-11 July
2007, Prague, Czech.
109. M. Doumpos, Y. Marinakis, M. Marinaki, and C. Zopounidis, (2007),
―Evolutionary approaches for the development of outranking relation models
in classification problems‖, Book of Abstracts 22nd European Conference
on Operational Research EURO XXII, 8-11 July 2007, Prague, Czech.
110. Y. Marinakis, M. Marinaki, M. Doumpos and C. Zopounidis, (2007), ―Ant
Colony and Particle Swarm Optimization for Financial Classification
Problems‖, Book of Abstracts 22nd European Conference on Operational
Research EURO XXII, 8-11 July 2007, Prague, Czech.
111. Y. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis,
(2007), ―A New Metaheuristic Algorithm for Cluster Analysis‖, Book of
Abstracts of the 5th International Conference on Advances in Global
Optimization: Methods and Applications, June 13 - 17, 2007, Myconos,
Greece.
112. Y. Marinakis, M. Marinaki, M. Doumpos, Y. Efremides, N. Matsatsinis and C.
Zopounidis, (2006), ―Metaheuristic Algorithms for Feature Selection in Credit
Risk Assessment‖, Book of Abstracts of the MCDA64, 28-30 September
2006, Larisa, Greece.
113. Y. Marinakis and A. Migdalas, (2005), ―Bilevel Formulations for Type
Routing Problems and a Solution Method Using a Genetic Algorithm‖, Book
of Abstracts of Multilevel Optimization: Algorithms and Applications, 15-
17 May 2005, Chania, Greece.
114. Y. Marinakis, A. Migdalas, P.M. Pardalos and M. Marinaki, (2005), ―A
Hybrid Genetic - GRASP Algorithm for the Vehicle Routing Problem‖, Book
of Abstracts of the 4th
Annual Florida Supply Chain Management
Conference, 25-27 February 2005, DoubleTree, Cocoa Beach, Florida, USA.
115. Y. Marinakis and A. Migdalas, (2003), ―A Two Phase Local Search GRASP
for the Traveling Salesman Problem‖, Book of Abstracts of the First
International Conference on Computational Management Science, 27 - 30
May 2003, Almyrida, Chania, Greece.
Curriculum Vitae – Dr. Yannis Marinakis 17
116. A. Migdalas and Y. Marinakis, (2003), ―A Bilevel Programming Approach to
the Location Routing Problem‖, Book of Abstracts of the International
Workshop on Computational Management Science, Economics, Finance
and Engineering, 28-30 March 2003, Limassol, Cyprus.
6.6 Papers in National Conferences
117. M. Marinaki, Y. Marinakis and C. Zopounidis, (2008), ―A Honey Bees Mating
Optimization Algorithm for the Multigroup Credit Risk Assessment Problem‖,
7th
Conference of the Hellenic Finance and Accounting Association, 12-13
December 2008, Chania, Crete, Greece.
118. Y. Marinakis and A. Migdalas, (2002), ―A Greedy Randomized Adaptive
Search Procedure (GRASP) for the Vehicle Routing Problem‖, Proceedings
of the 15th
National Congress of EEEE, 31 October - 2 November 2002,
Tripoli, Greece.
119. M. Kourgiantakis, Y. Marinakis and A. Migdalas, (2002), ―Modeling and
Analysis of Supply Chain Using Petri Nets‖, Proceedings of the 15th
National Congress of EEEE, 31 October - 2 November 2002, Tripoli,
Greece.
6.7 Papers’ Abstracts in National Conferences
120. I. Rogdakis and Y. Marinakis (2010) ―A Decision Support System for Supply
Chain Management‖, 1st National Student Conference of EEEE, 25-27
November 2010, Athens, Greece.
121. A. Maninakis and Y. Marinakis (2010) ―Solving the Location Routing
Problem using a Memetic Algorithm‖ 1st National Student Conference of
EEEE, 25-27 November 2010, Athens, Greece.
122. Y. Marinakis, M. Marinaki, N. Matsatsinis and C. Zopounidis, (2007),
―Evolution of the population of a Genetic Algorithm using Particle Swarm
Optimization - Application to Clustering Analysis‖, Book of Abstracts of the
5th
Meeting of Multicriteria Decision Analysis, 27-28 September 2007,
Chania, Greece.
123. Y. Marinakis, M. Marinaki, and N. Matsatsinis, (2007), ―Ant Colony
Optimization Algorithm for the Vehicle Routing Problem with Stochastic
Demand‖, Book of Abstracts, 19th National Conference of EEEE, 21-23
June 2007, Arta, Greece.
124. Y. Marinakis, M. Marinaki, G. Dounias and C. Zopounidis, (2007),
―Metaheuristic Algorithms in Medicine. The Pap-Smear Cell Classification
Problem‖, Book of Abstracts of the ECO-Q Management and Quality in
Health Care, 30-31 March 2007, Chania, Greece.
125. Y. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis,
(2006), ―Optimization of Nearest Neighbor Classifiers via Metaheuristic
Algorithms used for the Credit Risk Assessment Classification Task‖, Book of
Abstracts of the 4th
Meeting of Multicriteria Decision Analysis, 27-28
September 2006, Larisa, Greece.
Curriculum Vitae – Dr. Yannis Marinakis 18
6.8 Papers in Greek Scientific Journals and Books
126. Marinakis, Y, Marinaki, M. and C. Zopounidis (2010), ―Honey Bees‘ Case
Study! When then nature inspire mathematics…‖, Scientific Marketing, 74,
93-99.
127. Marinaki, M., Marinakis, Y. and C. Zopounidis (2008), ―Genetic Algorithms
and Credit Risk Assessment‖, Scientific Marketing, 49, 99-103 (in Greek).
128. Marinakis, Y., Marinaki, M., Dounias, G., Jantzen, J. and C. Zopounidis
(2007), ―Metaheuristic Optimization Algorithms in Medicine: The Pap-Smear
Problem‖, Issues of Management of Medicine Services, C. Zopounidis (Ed.),
147 – 161, Kleidarithmos (in Greek).
129. Marinakis, Y., Marinaki, M., Doumpos, M., Matsatsinis, N. and C. Zopounidis
(2007), ―A Hybrid Tabu Seach and Greedy Randomized Adaptive Search
Procedure Algorithm for the Clustering Problem‖, Decision Systems with
Multiple Criteria, N. Matsatsinis and C. Zopounidis (Eds.), 133-145,
Kleidarithmos (in Greek).
6.9 Book Editing
130. D. Askounis, Y. Marinakis and A. Nearxou, (2012), Editing Greek Version of
the book Operations and Supply Chain Management, F. Robert Jacobs and
Richard B. Chase (Publisher McGraw-Hill Irwin), P.X. Pasxalidis Publishers,
Broken Hill Publishers Ltd, ISBN 978-960-489-149-8.
6.10 Other Publications
131. Zopounidis C, Marinakis Y and M. Marinaki: ―Basic Models for Financial
Decisions. Honey Bees, Ants and Credit Risk Assessment‖, Kerdos,
16/01/2011. 132. Zopounidis C, Marinakis Y and M. Marinaki: ―Honey Bees, Ants and Credit
Risk Assessment‖, Naftemporiki, 19/08/2010. 133. Marinakis, Y., Marinaki, M., and C. Zopounidis: ―Honey Bees‘ Behaviour and
Credit Risk Assessment‖, Kathimerini, 31/07/2010. 134. Marinakis, Y., Marinaki, M., and C. Zopounidis,: ―Ants in the role of … a
Banker!‖, BHMASCIENCE, Biosystems, 25/07/2010. 135. Marinakis, Y., Marinaki, M., and C. Zopounidis, ―When the Nature Inspire
Mathematics‖, Xaniotika Nea Journal, 22/06/2010.
136. Marinakis, Y., Marinaki, M., and C. Zopounidis: ―Τhe crossword puzzle in
the management of transfers. The Link between Production, Storage and
Consumption‖. Open MBA, The Secrets of Business Management. C‘ Cycle,
Issue 17, 11/06/2007.
137. Marinakis, Y., Marinaki, M., and C. Zopounidis: ―The Service of Customers
Demands Skills and Priorities. The Challenges and the Fine Balances in the
Distribution of Goods‖. Open MBA, The Secrets of Business Management.
C‘ Cycle, Issue 16, 04/06/2007.
138. Marinakis, Y., Marinaki, M., and C. Zopounidis: ―The Puzzle of Distribution.
How Decisions are Taken in Supply Chain‖. Open MBA, The Secrets of
Business Management. C‘ Cycle, Issue 16, 04/06/2007.
Curriculum Vitae – Dr. Yannis Marinakis 19
139. Marinakis, Y., Marinaki, M., and C. Zopounidis: ―The Demand Prediction in
Supply Chain. Management without Surprises‖. Open MBA, The Secrets of
Business Management. C‘ Cycle, Issue 15, 21/05/2007.
140. Marinakis, Y., Marinaki, M., and C. Zopounidis: ―The Right Location of
Facilities leads to Rapid Growth. A Crucial Issue for Supply Chain‖. Open
MBA, The Secrets of Business Management. C‘ Cycle, Issue 15, 21/05/2007.
141. Marinakis, Y., Marinaki, M., and C. Zopounidis: ―Decision Support Systems
in Supply Chain. The Computer Gives the Solution‖. Open MBA, The
Secrets of Business Management. C‘ Cycle, Issue 15, 21/05/2007.
6.11 Research and Development Reports
142. Yannis Marinakis, Repoussis Panagiotis, Christos Tarantilis, Yiannis
Mourtos: Energy-Driven Optimization Algorithms Report, ARTISAN
Energy-aware enterprise systems for low-carbon intelligent operations Strep
Project - ICT for a Low Carbon Economy Program¸ Eu Project No.: 287933,
June 2012.
143. Marinakis Y, Migdalas A.: Network for Developing Theory, Methods and
Applications of Nonsmooth Analysis and Optimization, Final Report of the
project INTAS 97-31854, Brussels, Belgium, April 2002.
144. Poulimenos, A., Papageorgiou, M., Kotsialos, A., Marinakis, Y.:
Comparison and Evaluation Results. Deliverable 3.4.1 of the project DELPHI
(26965), European Programme ESPRIT, Brussels, Belgium, October 2000.
145. Poulimenos, A., Papageorgiou, M., Kotsialos, A., Marinakis, Y.:
Calibration and Verification of Prediction Parameters. Deliverable 3.3.1 of the
project DELPHI (26965), European Programme ESPRIT, Brussels, Belgium,
February 2000.
6.12 Lecture Notes
146. Marinakis Y.: Seminar Notes for Computer Programming in Matlab
Environment (VERSION 7.0.1 - Release 14), Postgraduate Studies
Programme, Department of Financial and Management Engineering, March
2006.
147. Marinakis Y., Migdalas A.: Combinatorial Optimization, Department of
Production Engineering and Managemen, Technical University of Crete, 3th
Edition, October 2008, 2nd
Edition, August 2005, 1st Edition, Sebtember 2002.
148. Migdalas A., Marinakis Y., Mavromamati A.: Modelling and Optimization
in Supply Chain Management Department of Production Engineering and
Managemen, Technical University of Crete, 2003.
149. Tsinarakis G., Μαρινάκης Y., Lomvardou S.: Informatics Ι, Department of
Natural Resources and Environment, Technological Institute of Crete - Branch
of Chania, Academic Year 2002-2003.
150. Migdalas A., Marinakis Y.: Introduction to LINGO, Department of
Production Engineering and Managemen, Technical University of Crete,
October 2001.
Curriculum Vitae – Dr. Yannis Marinakis 20
7. HONORS
1. The paper ―Y. Marinakis, M. Marinaki and G. Dounias, (2011), Honey Bees
Mating Optimization Algorithm for the Euclidean Traveling Salesman
Problem, Information Sciences, 181, 4684 – 4698‖, was ranked:
19th
based on Top 25 Hottest Articles in the subject area “Mathematics”,
Elsevier, July to September 2010,
10th
based on Top 25 Hottest Articles in Information Sciences, Elsevier,
July to September 2010,
18th
based on Top 25 Hottest Articles in Information Sciences, Elsevier,
October to December 2010,
24th
based on Top 25 Hottest Articles in Information Sciences, Elsevier,
July to September 2011.
2. The paper ―Y. Marinakis, M. Marinaki and G. Dounias, (2010), A Hybrid
Particle Swarm Optimization Algorithm for the Vehicle Routing Problem,
Engineering Applications of Artificial Intelligence, 23, 463-472‖ was ranked:
1st based on Top 25 Hottest Articles in Engineering Applications of
Artificial Intelligence, Elsevier, April to June 2010,
7th
based on Top 25 Hottest Articles in Engineering Applications of
Artificial Intelligence, Elsevier, July to September 2010,
4th
based on Top 25 Hottest Articles in Engineering Applications of
Artificial Intelligence, Elsevier, January to December 2011 full year,
11th
based on Top 25 Hottest Articles in Engineering Applications of
Artificial Intelligence, Elsevier, April to June 2011,
9th
based on Top 25 Hottest Articles in Engineering Applications of
Artificial Intelligence, Elsevier, October to December 2011,
6th
based on Top 25 Hottest Articles in Engineering Applications of
Artificial Intelligence, Elsevier, January to March 2012.
3. The paper ―M. Marinaki, Y. Marinakis and C. Zopounidis, (2010), Honey
Bees Mating Optimization Algorithm for Financial Classification Problems,
Applied Soft Computing, 10, 806-812‖ was ranked:
12th
based on Top 25 Hottest Articles in Applied Soft Computing, Elsevier,
April to June 2010,
23rd
based on Top 25 Hottest Articles in Applied Soft Computing,
Elsevier, July to September 2010.
4. The paper ―Y. Marinakis and M. Marinaki (2010), A Hybrid Multi-Swarm
Particle Swarm Optimization Algorithm for the Probabilistic Traveling
Salesman Problem, Computers and Operations Research, 37, 432-442‖ was
ranked:
10th
based on Top 25 Hottest Articles in Computers and Operations
Research, Elsevier, October to December 2009,
18th
based on Top 25 Hottest Articles in Computers and Operations
Research, Elsevier, October 2009 to September 2010 Academic Year .
5. Scholarships from the Foundation of National Scholarships for the years 1996-
97 and 1997-98.
6. Scholarships from the the Technical Chamber of Greece for the years 1996-97
και 1997-98.
7. Postgraduate Scholar in the Technical University of Crete from January 2000
to February 2002.
Curriculum Vitae – Dr. Yannis Marinakis 21
8. REVIEWER IN INTERNATIONAL JOURNALS AND
CONFERENCES
Total 271
Journals with Impact Factor 187
Impact
Factor Number
Applied Soft Computing 2,14 35
Engineering Applications of Artificial Intelligence 1,625 21
Computers and Operations Research 1,909 18
Soft Computing 1,124 13
IEEE Transactions on Evolutionary Computation 4,81 12
European Journal of Operational Research 2,038 10
Optimization Letters 1,654 10
Information Sciences 3,643 9
Applied Mathematics and Computation 1,349 7
International Journal of Artificial Intelligence Tools 0,22 4
The Scientific World Journal 1,73 4
Neural Computing & Applications 1,168 3
Neurocomputing 1,634 3
Applied Mathematics and Modelling 1,706 2
Communications in Nonlinear Science and Numerical Simulations 2,773 2
International Journal of Machine Tools & Manufacture 2,262 2
Journal of Zhejiang University SCIENCE A 0,527 2
Transportation Research C 2,006 2
IEEE Computational Intelligence Magazine 4,629 1
Omega 3,024 1
IEEE Transactions on Power Systems 2,921 1
IEEE Transactions on Systems, Man, and Cybernetics--Part C:
Applications and Reviews 2,548 1
Transportation Research Part E 2,272 1
Expert Systems with Applications 1,854 1
Energies 1,844 1
International Journal of Production Research 1,46 1
Mathematical Problems in Engineering 1,383 1
Entropy 1,347 1
International Journal of Systems Science 1,305 1
Transportation Research Part D 1,291 1
IIE Transactions 1,287 1
Simulation Modelling Practice and Theory 1,159 1
Annals of Operations Research 1,029 1
Environmental Modeling and Assessment 0,977 1
Engineering Optimization 0,962 1
Curriculum Vitae – Dr. Yannis Marinakis 22
Journal of Classification 0,865 1
TOP 0,843 1
Journal of Applied Mathematics 0,834 1
Journal of Intelligent and Robotic Systems 0,827 1
Optimization A Journal of Mathematical Programming and
Operations Research 0,707 1
Connection Science 0,706 1
Journal of earth systems sciences 0,695 1
Journal of Combinatorial Optimization 0,592 1
International Journal of Electronics and Communications 0,551 1
International Journal of Computer Mathematics 0,5 1
International Journal of Logistics 0,482 1
Journals without Impact Factor 29
Memetic Computing 8
Operational Research. An International Journal 4
Swarm and Evolutionary Computation 4
Human Systems Management 2
International Journal of Information Technology & Decision Making 2
African Journal of Biotechnology 1
Energy Systems 1
International Journal of Data Analysis Techniques and Strategies 1
International Journal of Management Science and Engineering Management 1
New Mathematics and Natural Computation 1
Recent Patents on Electrical Engineering 1
Scientia Iranica 1
Scientific Research and Essayes 1
World Journal of Modeling and Simulation 1
Conferences 55
19th IEEE International Conference on Tools with Artificial
Intelligence, 2007 2
8th International Conference on Swarm Intelligence - ANTS 2012 2
10th Balcan Conference of Operations Research - BALCOR 2011 4
Third International Conference on Computational Aspects of Social
Networks CASON 2011 2
Fourth International Conference on Computational Aspects of Social
Networks CASON 2012 1
Fifth International Conference on Computational Aspects of Social
Networks CASON 2013 1
EUROmC – XXVIII – VNS Conference 2
Genetic and Evolutionary Computation Conference - GECCO 2011 5
Genetic and Evolutionary Computation Conference - GECCO 2012 3
Genetic and Evolutionary Computation Conference - GECCO 2013 5
5th International Conference on Hybrid Artificial Intelligence
Systems - HAIS 2010 2
6th International Conference on Hybrid Artificial Intelligence
Systems - HAIS 2011 1
Curriculum Vitae – Dr. Yannis Marinakis 23
7th International Conference on Hybrid Artificial Intelligence
Systems - HAIS 2012 1
8th International Conference on Hybrid Artificial Intelligence
Systems - HAIS 2013 2
2nd International Conference on Computer and Communication
Technology ICCCT 2011 2
International Conference of Numerical Analysis and Applied
Mathematics 2009 1
21st Mediterranean Conference on Control and
Automation - MED 2013 2
Third World Congress on Nature and Biologically
Inspired Computing NABIC 2011 1
Fourth World Congress on Nature and Biologically
Inspired Computing NABIC 2012 2
Fifth World Congress on Nature and Biologically
Inspired Computing NABIC 2013 2
7th International Conference on Next Generation
Web Services Practices - NWESP 2011 4
8th International Conference on Next Generation
Web Services Practices - NWESP 2012 1
World Congress on Information and Communication
Technologies - WICT 2012 7
9. MEMBER OF THE ORGANIZING COMMITTEE OF THE
INTERNATIONAL CONFERENCES
[2005] Multilevel Optimization: Algorithms and Applications, May 15-17, Chania,
Crete, Greece.
[2003] First International Conference on Computational Management, May 27-30,
Almyrida, Crete, Greece.
10. MEMBER OF THE SCIENTIFIC COMMITTEE OF THE
INTERNATIONAL CONFERENCES
[2015] Genetic and Evolutionary Computation Conference (GECCO 2015), Ant
Colony Optimization and Swarm Intelligence Track, Madrid, Spain, 11-15
July, 2015
[2015] 10th
International Conference on Hybrid Artificial Intelligence Systems,
Bilbao, Spain, 22-24 June 2015
[2014] World Congress on Information and Communication Technologies (WICT
2014), Malacca, Malaysia, 08-11 December 2014
[2014] 6th
International Conference on Soft Computing and Pattern Recognition
(SoCPaR 2014), 11-14 August 2014, Tunis, Tunisia
[2014] Sixth International Conference on Computational Aspects of Social Networks
(CaSON 2014), 30 July -1 August 2014, Porto, Portugal
[2014] Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC
2014), 30 July -1 August 2014, Porto, Portugal
[2014] Genetic and Evolutionary Computation Conference (GECCO 2014), Ant
Colony Optimization and Swarm Intelligence Track, Vancouver, BC, Canada,
12-16 July, 2014
[2014] 9th
International Conference on Hybrid Artificial Intelligence Systems,
Salamanca, Spain, 11-13 June 2014
Curriculum Vitae – Dr. Yannis Marinakis 24
[2013] 9th
International Conference on Next Generation Web Services Practices
(NwESP 2013), 07-08 December 2013, Casablanca, Morocco
[2013] 8th
International Conference on Hybrid Artificial Intelligence Systems,
Salamanca, Spain, 11-13 September 2013
[2013] The Third International Conference on Soft Computing Technology in Civil,
Structural and Environmental Engineering, Cagliari, Sardinia, Italy, 3-6
September 2013.
[2013] Fifth International Conference on Computational Aspects of Social Networks
(CaSON 2013), 12-14 August 2013, Fargo, North Dacota, USA
[2013] Fifth World Congress on Nature and Biologically Inspired Computing (NaBIC
2013), 12-14 August 2013, Fargo, North Dacota, USA
[2013] Genetic and Evolutionary Computation Conference (GECCO 2013), Ant
Colony Optimization and Swarm Intelligence Track, Amsterdam, The
Netherlands, 6-10 July, 2013
[2012] EUROmC – XXVIII – VNS Conference, 4-7 October 2012, Herceg Novi,
Montenegro.
[2012] World Congress on Information and Communication Technologies (WICT
2012), India, October 30 - November 2, 2012.
[2012] Swarm, Evolutionary and Memetic Computing Conference (SEMCCO 2012),
20-22 December 2012, Bhubaneswar, Orissa, India
[2012] 8th
International Conference on Next Generation Web Services Practices
(NwESP 2012), 21-23 November 2012, Sao Carlos, Brazil
[2012] Fourth International Conference on Computational Aspects of Social Networks
(CaSON 2012), 21-23 November 2012, Sao Carlos, Brazil
[2012] Fourth World Congress on Nature and Biologically Inspired Computing
(NaBIC 2012), 5-9 November 2012, Mexico City, Mexico
[2012] ANTS 2012: 8th
International Conference on Swarm Intelligence, Brussels,
Belgium, 12-14 September 2012
[2012] Genetic and Evolutionary Computation Conference (GECCO 2012), Ant
Colony Optimization and Swarm Intelligence Track, Philadelphia, USA, 7-11
July, 2012
[2012] 7th
International Conference on Hybrid Artificial Intelligence Systems,
Salamanca, Spain, 28-30 March 2012
[2011] Third World Congress on Nature and Biologically Inspired Computing
(NaBIC 2011), 19-21 October 2011, Salamanca, Spain
[2011] Third International Conference on Computational Aspects of Social Networks
(CaSON 2011), 19-21 October 2011, Salamanca, Spain
[2011] Seventh International Conference on Next Generation Web Services Practices
(NwESP 2011), 19-21 October 2011, Salamanca, Spain
[2011] Genetic and Evolutionary Computation Conference (GECCO 2011), Ant
Colony Optimization and Swarm Intelligence Track, Dublin, Ireland, 12-16
July, 2011
[2011] 6th
International Conference on Hybrid Artificial Intelligence Systems,
Wroclaw, Poland, 23-25 May 2011
[2010] 1st National Conference of the Finance Engineering and Banking Society,
Athens, Greece, 3-4 December 2010
[2010] 5th
International Conference on Hybrid Artificial Intelligence Systems, San
Sebastian, Spain, 23-25 June 2010
Curriculum Vitae – Dr. Yannis Marinakis 25
[2010] 9th Special Conference of the Hellenic Operational Research Society,
Quantitative Models in the Managerial and Financial Decision Making, Agios
Nikolaos 28 - 29 May 2010.
[2009] 4th
International Conference on Hybrid Artificial Intelligence Systems,
Salamanca, Spain, 10-12 June 2009.
11. COMPUTER SKILLS
Operating Systems: Unix, Linux, DOS, Windows 3.1, 95, NT, 98, 2000,
Millennium, XP
Programming Languages: Visual Basic, C, C++, Fortran(77,90,95), Html, PHP
Packages: MatLab, LINDO, LINGO, MPL, SciLab, Microsoft
Office, Star Office, Visio, Ms Project,
DreamWeaver, Winteracter, Simul8
12. RESEARCH INTERESTS
Nature Inspired Algorithms
Supply Chain Management
Stochastic Optimization Algorithms
Stochastic Optimization
Game Theory
Logistics
Vehicle Routing and Distributions
Operations Research
Metaheuristic Algorithms
Structural Control
Optimal Control
Data Mining
Environmental Management and Decision Making
Quantitative Methods of Management
Financial Decision Making
Combinatorial Optimization
Bilevel Programming
Production Systems.
13. OTHER INFORMATION
1. Member of the Greek Society of Operations Research since September 2006.
2. Member of the EU/ME European Chapter on Metaheuristics
3. Member of the group Multiple Criteria Decision Aiding (MCDA)
4. Member of the Finance Engineering and Banking Society
5. Member of the Euro Working Group on Vehicle Routing and Logistics
Optimization (VeRoLog)
Curriculum Vitae – Dr. Yannis Marinakis 26
14. SUPERVISION OF MASTER THESES
1. Artificial Bee Colony algorithm for the Selective Traveling Salesman Problem,
Lemenitakis Charilaos, February 2015.
2. A Particle Swarm Optimization algorithm for the Production Scheduling
Problem in the Paper Packaging Industry, Kydonieos Kyriaki, February 2015.
3. Metaheuristic and Evolutionary Algorithms for the Generalized Assignment
Problem, Maselis Georgios, January 2015
4. An Adaptive Ant Colony Optimization algorithm for the Cummulative
Capacitated Vehicle Routing Problem, Kyriakakis Nikolaos – Antonios,
January 2015
5. An Artificial Bee Colony Algorithm for Vehicle Routing Problems.
Maragkoudakis Andreas, March 2013.
6. A Clonal Selection Algorithm for the Solution of the Permuation Flowshop
Scheduling Problem, Rapanaki Emmanouela, November 2012, Department of
Production Engineering and Management.
7. Nature Inspired Methods for the Solution of the Vehicle Routing Problem with
Stochastic Demand, Georgia Roumbini Iordanidou, October 2012,
Department of Production Engineering and Management.
8. Honey Bees Mating Optimization Algorithm for the Solution of the Traveling
Salesman Problem with Multiple Objective Functions, Psychas Dimitrios-
Iraklis, October 2012, Department of Production Engineering and
Management.
9. A Clonal Selection Algorithm for the Solution of the Traveling Salesman
Problem with Multiple Objective Functions, Delimpasi Eleni, October 2012,
Department of Production Engineering and Management.
10. Applying Artificial Bee Colony for Facility Location Problems, Paizakis
Panagiotis, July 2012, Department of Production Engineering and
Management.
11. Particle Swarm Optimization Algorithm for the Solution of the Multi-Depot
Vehicle Routing Problem, Alevizos Mixalis, March 2012, Department of
Production Engineering and Management.
12. A Memetic Algorithm for the Vehicle Routing Problem with Time Windows,
Dimitroulas Dionisios, January 2012, Department of Production Engineering
and Management.
13. A Honey Bees Mating Optimization Algorithm for the Single Source
Capacitated Facility Location Problem, Psimoulis Stavros, January 2012,
Department of Production Engineering and Management.
14. Modeling and Solution Algorithms for Ship Routing Problems, Tsampas
Petros, March 2011, Department of Production Engineering and Management.
15. Efficient Handling of Material Equipment in an Airline Company, Dolapsaki
Evangelia, November 2010, Department of Production Engineering and
Management.
16. A Decision Support System for the Solution of Supply Chain Management
Problems using Evolutionary Algorithms, Rogdakis Ioannis, November 2010,
Department of Production Engineering and Management.
17. Application of Metaheuristic Algorithms in Network Design Problems,
Tzilivakis Antonios, November 2010, Department of Production Engineering
and Management.
Curriculum Vitae – Dr. Yannis Marinakis 27
18. An Artificial Immune System Algorithm for the Solution of the Vehicle Routing
Problem, Eutyxia Georgiou, April 2010, Department of Production
Engineering and Management.
19. An Evolutionary Algorithm for the Solution of Bilevel Programming Problems,
Vlassi Antonella, March 2010, Department of Production Engineering and
Management.
20. An Evolutionary Algorithm for the Vehicle Routing Problem with Stochastic
Demand, Spanou Paraskevi, February 2010, Department of Production
Engineering and Management.
21. Solution of the Timetable Problem using Nature Inspired Algorithms, Vittorias
Michael, January 2010, Department of Production Engineering and
Management.
22. Optimal Sizing of Grid-connected PV-systems using Genetic Algorithms and
Nature Inspired Algorithms, Kornelakis Aris, 2009, Department of Production
Engineering and Management.
23. The Vehicle Routing Problem with Stochastic Demands and Time Windows,
Vasilikou Amalia, 2008, Department of Financial and Management
Engineering.
15. SUPERVISION OF DIPLOMA THESES
1. A Tabu Search algorithm for the Vehicle Routing Problem with Pickups and
Deliveries, Gonidakis Ioannis, July 2014
2. A Harmony Search optimization algorithm for the Vehicle Routing Problem,
Kanatos Euthimios, July 2014
3. A Tabu Search algorithm for the Job Shop Scheduling Problem, Ieronymakis
Konstantinos, March 2014
4. Bee Colony Optimization Algorithm for the Vehicle Routing Problem,
Papadopoulos Dimitrios, March 2014
5. A formulation and a solution method for the customers’ assignment problem
in taxi drivers, Fountas Charalampos, March 2014.
6. A Tabu Search Algorithm for the Inventory Routing Problem, Markoulakis
Basileios, October 2013.
7. An ACO algorithm for the Cummulative Capacitated Vehicle Routing
Problem, Kyriakakis Nikolaos-Antonios, October 2013.
8. An Evolutionary Algorithm for the Job Shop Scheduling Problem, Zografos
Georgios, October 2013.
9. A Metaheuristic Algorithm for the Flowshop Scheduling Problem,
Kourouniotis Georgios, October 2013.
10. An Island Genetic Algorithm for the Multidepot Vehicle Routing Problem,
Mpantouvakis Georgios – Panagiotis, July 2013.
11. The Multidepot Vehicle Routing Problem, Kompotis Panagiotis, April 2013.
12. An Ant Colony Optimization algorithm for the Vehicle Routing Problem with
Time Windows, Timotheatos Panagiotis, March 2013
13. Optimization of the Dynamic Assymetric Traveling Salesman Problem,
Basilakakos Basilios, March 2013
14. Ant Colony Optimization Algorithm for the Solution of the P-median Problems
and the Capacitated Facility Location Problems, Xidias Georgios, (co-
supervision with G. Stavrakakis), November 2012.
Curriculum Vitae – Dr. Yannis Marinakis 28
15. Particle Swarm Optimization Algorithm for the Solution of the Inventory
Routing Problem, Dafermos Stelios, October 2012, Department of Production
Engineering and Management.
16. Hybrid Differential Evolution Algorithms for the Flowshop Scheduling
Problem. A Real Life Application for a Flexible Flowshop Scheduling
Problem, Depounti Oraiozili, October 2012, Department of Production
Engineering and Management.
17. Evolutionary Algorithm for the Selective Traveling Salesman Problem, Politis
Michael, September 2012, Department of Production Engineering and
Management.
18. Memetic Algorithms for the Solution of the Location Routing Problem,
Maninakis Andreas, March 2012, Department of Production Engineering and
Management.
19. Ejection Chain Algorithm for the TSP and VRP, Stamatopoulos Eustathios,
December 2011, Department of Production Engineering and Management.
20. A Tabu Search Algorithm for the Vehicle Routing Problem with Time
Windows, Kollias Konstantinos, May 2011, Department of Production
Engineering and Management.
21. A Genetic Algorithm for the Solution of Inventory Routing Problem,
Xavdoulas Leonidas, March 2011, Department of Production Engineering and
Management.
22. A Particle Swarm Optimization Algorithm for the Vehicle Routing Problem
with Stochastic Demands, Georgia Roumbini Iordanidou, March 2011,
Department of Production Engineering and Management.
23. Inventory Control in Supply Chain Management. The Inventory Routing
Problem, Gymnopoulos Konstantinos, February 2011, Department of
Production Engineering and Management.
24. A Differential Evolution Algorithm for the Multiobjective Traveling Salesman
Problem, Psychas Dimitrios-Iraklis, December 2010, Department of
Production Engineering and Management.
25. A Particle Swarm Optimization Algorithm for the Multiobjective Traveling
Salesman Problem, Delimpasi Eleni, December 2010, Department of
Production Engineering and Management.
26. An Ant Colony Optimization of the Open Vehicle Routing Problem, Aurilionis
Spyridon, November 2010, Department of Production Engineering and
Management.
27. A Tabu Search Algorithm for the Vehicle Routing Problem, Mylonas
Ippokratis, October 2010, Department of Production Engineering and
Management.
28. Index Tracking through the implementation of a Multiobjective Metaheuristic
Algorithm, Pantazis Raphael-Diogenis, October 2010, Department of
Production Engineering and Management.
29. A Decision Support System for Supply Chain Management Problems,
Venizelos Athanasios, October 2010, Department of Production Engineering
and Management.
30. A Heuristic Algorithm for the p-median and p-center problems, Papastefanou
Evangelos, July 2010, Department of Production Engineering and
Management.
Curriculum Vitae – Dr. Yannis Marinakis 29
31. A Metaheuristic Algorithm for the Location Routing Problem, Strataki
Chrysanthi, June 2010, Department of Production Engineering and
Management.
32. A Genetic Algorithm for a Distribution Problem of an Aluminum Company,
Kounoupa Chrysoula, February 2010, Department of Production Engineering
and Management.
33. Optimization of the Supply Chain Management of a Poultry Farming
Company, Gavriloglou Eustathios, January 2010, Department of Production
Engineering and Management.
34. Optimization of the Distribution Cost in a Supermarket’s Supply Chain,
Agalianos Fotios, September 2009, Department of Production Engineering and
Management.
35. An Island Memetic Algorithm for the Vehicle Routing Problem, Rogdakis
Ioannis, September 2009, Department of Production Engineering and
Management.
36. A Nearest Neighborhood Algorithm for the Inventory Routing Problem,
Tsoukala Georgia, September 2009, Department of Production Engineering
and Management.
37. Forecasting of the Stock Price of the National Bank of Greece using Neural
Networks, Somaras Andreas, July 2009, Department of Production
Engineering and Management.
38. Iterated Path Relinking Algorithm using Local Search for the Vehicle Routing
Problem, Kiniklis Vasileios, June 2009, Department of Production
Engineering and Management.
39. Vehicle Routing Problem using Matlog, Andreou Maria, August 2008,
Department of Production Engineering and Management.
16. CITATIONS
Total Citations: 905
The paper ―Particle Swarm Optimization with Expanding Neighborhood Topology for
the Permutation Flowshop Scheduling Problem‖, Soft Computing, 17(7), 1159-1173,
(2013)‖ is cited by:
1. Chun-Lung Chen, Shin-Ying Huang, Yeu-Ruey Tzeng, Chuen-Lung Chen, A
revised discrete particle swarm optimization algorithm for permutation flow-
shop scheduling problem, Soft Computing, (2014), 18, 2271-2282 DOI
10.1007/s00500-013-1199-z
2. Juan José Palacios, Inés González-Rodríguez, Camino R. Vela, Jorge Puente,
Swarm lexicographic goal programming for fuzzy open shop scheduling,
Journal of Intelligent Manufacturing DOI 10.1007/s10845-013-0850-y
3. J. Behnamian, Particle swarm optimization-based algorithm for fuzzy parallel
machine scheduling, Int J Adv Manuf Technol (2014) 75:883–895
4. Xiaolei Liang, Wenfeng Li, Yu Zhang, MengChu Zhou, An adaptive particle
swarm optimization method based on clustering, Soft Comput DOI
10.1007/s00500-014-1262-4
Curriculum Vitae – Dr. Yannis Marinakis 30
5. Hao Liu · Gang Xu · Guiyan Ding · Dawei Li, Integrating opposition-based
learning into the evolution equation of bare-bones particle swarm
optimization, Soft Comput DOI 10.1007/s00500-014-1444-0
6. Wu, D., A switching particle swarm optimization for multimodal optimization
problem, 2014 Chinese Control Conference, CCC 6896263, pp. 7585-7588
7. Li, Z., Xu, Z.-H., Gu, X.-S., Improved particle swarm optimization algorithm
for multiproduct batch plant scheduling problem with zero wait policy, 2014
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing
Systems, CIMS 20 (7), pp. 1654-1664
8. Engelbrecht, A.P., Particle swarm optimization, 2014 GECCO 2014 -
Companion Publication of the 2014 Genetic and Evolutionary Computation
Conference pp. 381-406
9. Li, J.-Q., Pan, Q.-K., Mao, K., Hybrid particle swarm optimization for hybrid
flowshop scheduling problem with maintenance activities, Scientific World
Journal 2014, 596850
10. Engelbrecht, A.P. Particle swarm optimization: Global best or local best?
Proceedings - 1st BRICS Countries Congress on Computational Intelligence,
BRICS-CCI 2013 6855840, pp. 124-135
The paper ―Particle Swarm Optimization for the Vehicle Routing Problem with
Stochastic Demands‖, Applied Soft Computing, 13, 1693-1704, 2013‖ is cited by:
11. Takwa Tlili, Sami Faiz and Saoussen Krichen, INTEGRATION OF GIS AND
OPTIMIZATION ROUTINES FOR THE VEHICLE ROUTING PROBLEM,
International Journal of Chaos, Control, Modelling and Simulation
(IJCCMS) Vol.2, No.2, June 2013, DOI : 10.5121/ijccms.2013.2202, 9-17
12. FAN Cheng-li, XING Qing-hua, FAN Hai-xiong, LI-Xiang, The Particle
Swarm Optimization and Variable Neighborhood Search Algorithm with
Convergence Criterions, Control and Decision, 29 (4), DOI:
10.13195/j.kzyjc.2012.1913
13. Zhen Yaobao, Hu Ping, and Yang Shu, An Improved Particle Swarm
Optimization for the Automobile Spare Part Warehouse Location Problem,
Hindawi Publishing Corporation Mathematical Problems in Engineering
Volume 2013, Article ID 726194, 6 pages,
http://dx.doi.org/10.1155/2013/726194
14. Hao Liu, Guiyan Ding, Bing Wanga, Bare-bones particle swarm optimization
with disruption Operator, Applied Mathematics and Computation 238
(2014) 106–122
15. Naser Ghorbani, Ebrahim Babaei, Exchange market algorithm, Applied Soft
Computing 19 (2014) 177–187
16. P. Loganthurai, V. Rajasekaran, K. Gnanambal, Optimization of operating
schedule of machines in granite industry using evolutionary algorithms,
Energy Conversion and Management 86 (2014) 809–817
17. Junliang He, Youfang Huang, Wei Yan, Yard crane scheduling in a container
terminal for the trade-off between efficiency and energy consumption, Adv.
Eng. Informat. (2014), http://dx.doi.org/10.1016/j.aei.2014.09.003
18. Hung-Hsu Tsai, Bae-Muu Chang, Shin-Hung Liou, Rotation-invariant texture
image retrieval using particle swarmoptimization and support vector
regression, Applied Soft Computing 17 (2014) 127–139
Curriculum Vitae – Dr. Yannis Marinakis 31
19. Angel A. Juan, Jarrod Goentzel, Tolga Bektas, Routing fleets with multiple
driving ranges: Is it possible to use greener fleet configurations? Applied Soft
Computing 21 (2014) 84–94
20. de Araújo, P. L. F., Horstkemper, D., de Siqueira, D., Hellingrath, B., Gomes,
P. d. L. M., & Buarque, d. L. N. F. (2013). Comparison of Optimization
Techniques for Complex Supply Chain Network Planning Problems. In
Proceedings of the XXVII Congresso Nacional de Pesquisa e Ensino em
Transporte, Belém, Brasilien
21. Bárbara de Cássia Xavier Cassins Aguiar, Paulo Henrique Siqueira, Giancarlo
de França Aguiar, Luzia Vidal de Souza, Particle Swarm Optimization for
Vehicle Routing Problem with Fleet Heterogeneous and Simultaneous
Collection and Delivery, Applied Mathematical Sciences, Vol. 8, 2014, no.
77, 3833 – 3849, http://dx.doi.org/10.12988/ams.2014.45366
22. Hao Liu · Gang Xu · Guiyan Ding · Dawei Li, Integrating opposition-based
learning into the evolution equation of bare-bones particle swarm
optimization, Soft Comput DOI 10.1007/s00500-014-1444-0
23. Lorena S. Reyes-Rubiano, Carlos L. Quintero-Araújo, Andrés F. Torres-
Ramos, Modelo Matemático para la Programación de Personal Especializado
en Logística Humanitaria Post-Desastre, Twelfth LACCEI Latin American
and Caribbean Conference for Engineering and Technology (LACCEI‘2014)
―Excellence in Engineering To Enhance a Country‘s Productivity‖ July 22 -
24, 2014 Guayaquil, Ecuador.
24. Zeng, Y., Li, W.-J., Chen, Y.-Y., Tang, L.-R., A congestion avoidance
algorithm based on the service priority for electric power dispatching data
network, 2014 Dianli Xitong Baohu yu Kongzhi/Power System Protection
and Control 42 (2), pp. 49-55
25. Ma, H.W., The optimization model for vehicle routing program based on
travel time reliability, 2014 Applied Mechanics and Materials 543-547, pp.
12-15
26. Ying, Z., Jiang, K.-M., Chen, Y.-Y., Tang, L.-R., A novel load balancing
algorithm based on binary particle swarm optimization for heterogeneous
integrated networks, 2013 Proceedings - International Conference on
Natural Computation 6818023, pp. 476-480
The paper ―Multiple Phase Neighborhood Search GRASP for the Capacitated
Vehicle Routing Problem‖, Expert Systems with Applications, 39, 6807-6815‖ is cited
by:
27. Zahra Saadati Eskandari, Majid Yousefikhoshbakht, Solving the Vehicle
Routing Problem by using an Effective Reactive Bone Route Algorithm,
Transportation Research Journal 1 (2012) 51-67
28. Saoussen Krichen and Sami Faiz, Geographical Information Systems and
Spatial Optimization, CRC Press 2012, Print ISBN: 978-1-4665-7747-3,
eBook ISBN: 978-1-4665-7748-0
29. Layeb, A., Ammi, M., Chikhi, S., A GRASP algorithm based on new
randomized heuristic for vehicle routing problem, Journal of Computing and
Information Technology 21 (1) , pp. 35-46, 2013
30. Tang, J., Ma, Y., Guan, J., Yan, C., A Max-Min Ant System for the split
delivery weighted vehicle routing problem, Expert Systems with
Applications 40 (18) , pp. 7468-7477, 2013.
Curriculum Vitae – Dr. Yannis Marinakis 32
31. Lin, C., Choy, K.L., Ho, G.T.S., Chung, S.H., Lam, H.Y., Survey of Green
Vehicle Routing Problem: Past and future trends, Expert Systems with
Applications 41 (4 PART 1) , pp. 1118-1138, 2014
32. Jovanović, A.D., Pamučar, D.S., Pejčić-Tarle, S., Green vehicle routing in
urban zones - A neuro-fuzzy approach, Expert Systems with Applications 41
(7) , pp. 3189-3203, 2014
The paper ―Vibration Control of Beams with Piezoelectric Sensors and Actuators
using Particle Swarm Optimization‖, Expert Systems with Applications, 38, 6872-
6883, 2011‖ is cited by:
33. Sonda Hbaieb, Souhail Dhouib, and Habib Chabchoub, A Decision Support
System Based on Metaheuristic Model for Aircrafts Landing Problems, R.
Meersman, T. Dillon, and P. Herrero (Eds.): OTM 2011 Workshops, LNCS
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144. Patrick Schittekat, Metaheuristics for Planning in Logistics from Theory to
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159. Yu Li, Liang Ma, A Hybrid Ant Algorithm for the Vehicle Routing Problem,
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174. Yucheng Kao and Mei Chen, Solving the CVRP Problem Using a Hybrid PSO
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215. Mikati, M., Santos, M., Knowledge-Based Decision System for Sizing Grid-
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228. Ekrem Duman, Mitat Uysal, and Ali Fuat Alkaya, Migrating Birds
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Construction, Applied Soft Computing Journal (2012), 12, 4, 1330-1347.
373. R. Venkata Rao and Vimal J. Savsani, Applications of Modified Optimization
Algorithms to the Unconstrained and Constrained Problems, Mechanical
Design Optimization Using Advanced Optimization Techniques, Springer
Series in Advanced Manufacturing, 2012, 69-121, DOI: 10.1007/978-1-4471-
2748-2_4
374. R. Venkata Rao and Vimal J. Savsani, Advanced Optimization Techniques,
Mechanical Design Optimization Using Advanced Optimization
Techniques, Springer Series in Advanced Manufacturing, 2012, 5-34, DOI:
10.1007/978-1-4471-2748-2_2
375. C.-J. Liao, E. Tjandradjaja, T.-P. Chung, An approach using particle swarm
optimization and bottleneck heuristic to solve hybrid flow shop scheduling
problem, Applied Soft Computing Journal (2012), 12, 6, 1755-1764.
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376. Bestoun Ahmet and Kamal Zamli, A Greedy Particle Swarm Optimization
Strategy for T-way Software Testing, Journal of Artificial Intelligence,
2012, ISSN 1994-5450, DOI: 10.3923/jai.2012
377. Guillermo Cabrera G., Silvana Roncagliolo D., Juan P. Riquelme, Claudio
Cubillos and Ricardo Soto, A Hybrid Particle Swarm Optimization -
Simulated Annealing Algorithm for the Probabilistic Travelling Salesman
Problem, SIC: vol. 21, issue 1/2012, pp. 49-58
378. Peitsang Wu, Yung-Yao Hung and Han-Chieh Chiang, A Hybrid
Electromagnetism-like Mechanism: A Metaheuristic Algorithm for Solving
the Travelling Salesman Problem, International Journal of Operations
Research Vol. 9, No. 1, 53−65 (2012)
379. Ahmed, B.S., Zamli, K.Z., Lim, C.P., Constructing a t-way interaction test
suite using the Particle Swarm Optimization approach, International Journal
of Innovative Computing, Information and Control 8 (1 A) , pp. 431-451
380. Hongqi Li, Yue Lu, Jun Zhang, and Tianyi Wang, Solving the Tractor and
Semi-Trailer Routing Problem Based on a Heuristic Approach, Hindawi
Publishing Corporation Mathematical Problems in Engineering Volume
2012, Article ID 182584, 12 pages doi:10.1155/2012/182584
381. Ulrike Ritzinger and Jakob Puchinger, Hybrid Metaheuristics for Dynamic and
Stochastic Vehicle Routing, E.-G. Talbi (Ed.): Hybrid Metaheuristics, SCI
434, pp. 77–95, Springer-Verlag Berlin Heidelberg 2013
382. Ayca Altay and Gulgun Kayakutlu, Evolutions in Particle Swarm
Optimization: Benchmark on Continuous Cases, C. Kahraman (ed.),
Computational Intelligence Systems in Industrial Engineering, Atlantis
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383. Wu Deng, Rong Chen, Bing He, Yaqing Liu, Lifeng Yin, Jinghuan Guo, A
novel two-stage hybrid swarm intelligence optimization algorithm and
application, Soft Computing, 16(10), 1707-1722, Springer, 2012
384. R.J. Kuo, Ferani E. Zulvia, Kadarsah Suryadi Hybrid particle swarm
optimization with genetic algorithm for solving capacitated vehicle routing
problem with fuzzy demand – A case study on garbage collection system,
Applied Mathematics and Computation (2012), 219(5), 2574-2588.
385. Latha Shankar, B., S. Basavarajappa, Jason C.H. Chen, Rajeshwar S.
Kadadevaramath Location and allocation decisions for multi-echelon supply
chain network – A multi-objective evolutionary approach. Expert Systems
with Applications (2013), 40(2), 551-562.
386. Α. Azadeh, M. Hosseinabadi Farahani, H. Eivazy, S. Nazari-Shirkouhi, G.
Asadipour, A hybrid meta-heuristic algorithm for optimization of crew
scheduling, Applied Soft Computing Journal (2013), 13(1), 158-164.
387. Jiang, H., Liu, T., Chen, J. , An exact algorithm for TSP based on time-delay
message broadcasting mechanism in cloud computing environment, Advances
in Information Sciences and Service Sciences 4 (20) , pp. 299-308, 2012
388. Xuesong Yan, Can Zhang , Wenjing Luo, Wei Li, Wei Chen and Hanmin Liu,
Solve Traveling Salesman Problem Using Particle Swarm Optimization
Algorithm, IJCSI International Journal of Computer Science Issues, Vol.
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389. A. A. Abdelhalim and A. B. Eltawil, Recent Heuristics and Algorithms for
Solving the Vehicle Routing Problems, Chapter 114, E. Qi et al. (eds.),
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642-38445-5_114, _ Springer-Verlag Berlin Heidelberg 2013, 1103-1112
390. Reuy-Maw Chen and Chuin-Mu Wang, Controlling Search Using an S
Decreasing Constriction Factor for Solving Multi-mode Scheduling Problems,
M. Ali et al. (Eds.): IEA/AIE 2013, LNAI 7906, pp. 545–555, 2013. ©
Springer-Verlag Berlin Heidelberg 2013
391. Stacy A. Voccia, Ann M. Campbell, Barrett W. Thomas, The probabilistic
traveling salesman problem with time windows, EURO Journal of
Transportation and Logistics (2013) 2:89–107
392. Min Huang, Xingwei Wang, Fu-Qiang Lu, and Hua-Ling Bi, A Coordination
of Risk Management for Supply Chains Organized as Virtual Enterprises,
Hindawi Publishing Corporation Mathematical Problems in Engineering
Volume 2013, Article ID 931690, 11 pages
http://dx.doi.org/10.1155/2013/931690
393. Ruey-Maw Chen and Hsiao-Fang Shih, Solving University Course
Timetabling Problems Using Constriction Particle Swarm Optimization with
Local Search, Algorithms 2013, 6, 227-244; doi:10.3390/a6020227
394. Jorge Ivan Pérez Rave, Gloria Patricia Jaramillo Álvarez, Relevant literary
space on travelling salesman problem (TSP): contents, classification, methods
and fields of inspiration, Produção, 23(4), 866-876
395. Baltas, G., Tsafarakis, S., Saridakis, C., Matsatsinis, N. , Biologically Inspired
Approaches to Strategic Service Design: Optimal Service Diversification
Through Evolutionary and Swarm Intelligence Models, Journal of Service
Research 16 (2) , pp. 186-201
396. Rao, W.-Z., Jin, C., Lu, L.-T. , An improved greedy algorithm with
information of edges' location for solving the Euclidean traveling salesman
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850
397. Xiaohua Wang, Aiqin Mu, Shisong Zhu, ISPO: A New Way to Solve
Traveling Salesman Problem, Intelligent Control and Automation, 2013, 4,
122-125 doi:10.4236/ica.2013.42017 Published Online May 2013
(http://www.scirp.org/journal/ica)
398. Masoud Yaghini, Mohsen Momeni and Mohammadreza Sarmadi, DIMMA-
Implemented Metaheuristics for Finding Shortest Hamiltonian Path Between
Iranian Cities Using Sequential DOE Approach for Parameters Tuning,
International Journal of Applied Metaheuristic Computing (IJAMC),
Volume 2, Issue 2. Copyright © 2011. 19 pages.
399. Masoud Yaghini, Mohsen Momeni, Mohammadreza Sarmadi, DOE–based
parameter tuning for local branching algorithm, International Journal of
Metaheuristics, Volume 2, Number 1/2012, 1-14, DOI:
10.1504/IJMHEUR.2012.048211
400. WU Xin-jie, HUANG Guo-xing, Application of particle filter algorithm in
traveling salesman problem. Journal of Computer Applications
2012 32 (08): 2219-2222 ISSN: 1001-9081: CN: 51-1307/TP
401. Weiqi Li, Constructing a Solution Attractor for the Probabilistic Traveling
Salesman Problem through Simulation, M. Emmerich et al. (eds.), EVOLVE - A
Bridge between Probability, Set Oriented Numerics, 1 and Evolutionary
Computation IV, Advances in Intelligent Systems and Computing 227, DOI:
10.1007/978-3-319-01128-8_1, c_ Springer International Publishing Switzerland
2013
Curriculum Vitae – Dr. Yannis Marinakis 60
402. Guo, H.L., Research on rule extraction technology based on genetic algorithm in
intrusion detection, Advanced Materials Research 760-762 , pp. 857-861, 2013
403. Pang, S., Li, T., Dai, F., Yu, M., Particle swarm optimization algorithm for multi-
salesman problem with time and capacity constraints, Applied Mathematics and
Information Sciences 7 (6) , pp. 2439-2444, 2013
404. Guo, H.L., Research on the model of database intrusion protection system based
on E-commerce platform, Applied Mechanics and Materials 336-338 , pp.
2559-2562, 2013
405. Min Huang, XingweiWang, Fu-Qiang Lu, and Hua-Ling Bi, A Coordination of
Risk Management for Supply Chains Organized as Virtual Enterprises, Hindawi
Publishing Corporation Mathematical Problems in Engineering Volume 2013,
Article ID 931690, 11 pages http://dx.doi.org/10.1155/2013/931690
406. Srinjoy Ganguly and Swagatam Das, A Novel Ant Colony Optimization
Algorithm for the Vehicle Routing Problem, B.K. Panigrahi et al. (Eds.):
SEMCCO 2013, Part I, LNCS 8297, pp. 401–412, 2013. © Springer International
Publishing Switzerland 2013
407. Qingjian Ni, Cen Cao, and Huimin Du, A New Particle Swarm Optimization with
Population Restructuring Based Multiple Population Strategy, B.K. Panigrahi et
al. (Eds.): SEMCCO 2013, Part I, LNCS 8297, pp. 688–698, 2013. Springer
International Publishing Switzerland 2013
408. Lixin Tang, Jiao Zhao, Jiyin Liu, Modeling and solution of the joint quay crane
and truck scheduling problem, European Journal of Operational Research,
236, (2014), 978-990
409. Hsuan-Ming Feng, Kuo-Lung Liao, Hybrid evolutionary fuzzy learning scheme in
the applications of traveling salesman problems, Information Sciences 270
(2014) 204–225
410. Mingchang Chih, Self-adaptive check and repair operator-based particle
swarmoptimization for the multidimensional knapsack problem, Appl. Soft
Comput. J. (2014), http://dx.doi.org/10.1016/j.asoc.2014.10.030
411. Ruey-Maw Chen, You-An Chen, Heuristics Based Particle Swarm Optimization
for Solving Vehicle Routing Problems, 2014 International Symposium on
Computer, Consumer and Control 412. Lingyun Zhou, Lixin Ding and Xiaoli Qiang, A Multi-population Discrete Firefly
Algorithm to Solve TSP, L. Pan et al. (Eds.): BIC-TA 2014, CCIS 472, pp. 648–
653, 2014. Springer-Verlag Berlin Heidelberg 2014
413. Lin, C.-J., Peng, C.-C., An efficient evolutionary neural fuzzy controller for the
inverted pendulum system, Cybernetics and Systems, 45 (4), pp. 324-348, 2014
414. Ni, Q.-J., Deng, J.-M., Xing, H.-C. Dynamic probabilistic particle swarm
optimization based on heterogeneous multiple population strategy, Moshi Shibie
yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence 27 (2),
pp. 146-152
415. Yu, Y.-Y., Chen, Y., Li, T.-Y., Improved genetic algorithm for solving TSP,
Kongzhi yu Juece/Control and Decision 29 (8), pp. 1483-1488, 2014
416. Chen, R.M., Chen, Y.A., Heuristics based particle swarm optimization for solving
vehicle routing problems, Proceedings - 2014 International Symposium on
Computer, Consumer and Control, IS3C 2014 6845892, pp. 360-363
417. Guo, L.-Z., Wang, Y.-J., Zhao, S.-G., Shen, S.-G., Jiang, C.-Y., Particle swarm
optimization embedded in variable neighborhood search for task scheduling in
cloud computing, Journal of Donghua University (English Edition) 30 (2), pp.
145-152, 2013
Curriculum Vitae – Dr. Yannis Marinakis 61
The paper ―Ant Colony and Particle Swarm Optimization for Financial Classification
Problems, Expert Systems with Applications, 36, 7, 10604-10611, 2009‖ is cited by:
418. Zhihua Cui, Zhongzhi Shi, Boid Particle Swarm Optimization, International
Journal of Innovative Computing and Applications, 2009, Vol 2, No2, 77-
85.
419. Zhihua Cui and Xingjuan Cai, Integral Particle Swarm Optimization with
Dispersed Accelerator Information, Fundamenta Informaticae, 2009, 95(4):
427-447.
420. Xingjuan Cai, Ying Tan, Individual Predicted Integral-controlled Particle
Swarm Optimization, International Journal of Innovative Computing and
Applications, 2009, Vol 2 No 2 115-122.
421. Ali Hassan, Particle Swarm Optimization for routing and wavelength
assingment in next generation WDM networks, Ph.D. Thesis, Queen Mary
University of London, December 2009
422. Zhihua Cui, Xingjuan Cai, Ying Tan and Jianchao Zeng, ―Integral-controlled
Particle Swarm Optimization‖, Handbook of Swarm Intelligence –
Concepts, Principles and Applications, Series on Adaptation, Learning, and
Optimization, Springer, 2011, 175-199.
423. Dragan Simić, Vladeta Gajić, and Svetlana Simić, An Approach of Bio-
inspired Hybrid Model for Financial Markets, M. Graña Romay et al. (Eds.):
HAIS 2010, Part I, LNAI 6076, pp. 205–212, 2010. © Springer-Verlag
Berlin Heidelberg 2010
424. Qingsong Song, Zuren Feng and Mingli Lei, Stable training method for echo
state networks with output feedbacks, International Conference on
Networking, Sensing and Control (ICNSC), 2010 , 159-164
425. Yorgos Goletsis, Themis P. Exarchos and Christos D. Katsis, Credit scoring
using an Ant mining approach, Human Systems Management, 29 (2010)
79–88
426. Noorhaniza Wahid, Yuk Ying Chung, Wei-Chang Yeh and Guang Liu,
Feature Selection Using a Novel Swarm Intelligence Algorithm with Rough
Sets, BIOCOMP'10, The 2010 International Conference on
Bioinformatics, and Computational Biology, 2010
427. Sumona Mukhopadhyay, Santo Banerjee Cooperating Swarms: A Paradigm
for Collective Intelligence and its Application in Finance, International
Journal of Computer Applications (0975 – 8887) Volume 6– No.10,
September 2010, 31-41.
428. W. Chu, X. Gao, S. Sorooshian, Handling boundary constraints for particle
swarm optimization in high-dimensional search space, Information Sciences
(2011), 181, 20, 4569-4581.
429. Ognjen Radović, AGENT-BAZIRANI MODEL ELEKTRONSKOG
FINANSIJSKOG TRŢIŠTA, Ph.D. Thesis, Subotica 2010, Godine.
430. Mohammad Dashti J, Kambiz Shojaee G., S.M.H. Seyedkashi, M. Behnam T.,
Novel Simulated Annealing Algorithm in order to Optimal Adjustment of
Digital PID Controller, 11th Int. Conf. Control, Automation, Robotics and
Vision Singapore, 7-10th December 2010
431. I-Wei Kao and Chi-Yang Tsia, Selective Regeneration Particle Swarm
Optimization for Inventory Classification in Supply Chain Systems, 2010
Curriculum Vitae – Dr. Yannis Marinakis 62
Second World Congress on Nature and Biologically Inspired Computing
Dec. 15-17,2010 in Kitakyushu, Fukuoka, Japan
432. Chau Minh Ky, A Fuzzy MCDM method to select the best company based on
Financial Report Analysis, MSc Thesis, National University of Tainan,
January 2011
433. Yorgos Goletsis, Themis P. Exarchos and Christos D. Katsis, Bio-inspired
intelligence for credit scoring, International Journal of Financial Markets and
Derivatives, Volume 2, Number 1-2 / 2011, 32 - 49
434. Ning Chen, Bernardete Ribeiro, Armando S. Vieira, Joγo Duarte, Joγo C.
Neves, A genetic algorithm-based approach to cost-sensitive bankruptcy
prediction, Expert Systems with Applications 38 (2011) 12939–12945
435. Chopade, Ramchandra P. , Agnihotri, E. , Singh, A. K. , Kumar, A. , Uppaluri,
R. , Mishra, Subhash C. and Mahanta, P.(2011) 'Application of a Particle
Swarm Algorithm for Parameter Retrieval in a Transient Conduction-
Radiation Problem', Numerical Heat Transfer, Part A: Applications, 59: 9,
672 — 692
436. Ho, T.K., Tsang, C.W., Ip, K.H., Kwan, K.S., Train Service Timetabling in
Railway Open Markets by Particle Swarm Optimisation, Expert Systems
with Applications (2012), 39, 1, 861-868.
437. Ayca Altay and Gulgun Kayakutlu, Animal Food Chain Based Particle Swarm
Optimization, Proceedings of the World Congress on Engineering 2011 Vol
II WCE 2011, July 6 - 8, 2011, London, U.K.
438. Jung-Yuan Kung, Tzung-Nan Chuang and Chau Minh Ky, A Fuzzy MCDM
Method to Select The Best Company Based on Financial Report Analysis,
2011 IEEE International Conference on Fuzzy Systems June 27-30, 2011,
Taipei, Taiwan
439. Po-wen Chen, Combining SVM and PSO to explore the prediction models of
Taiwan Stock Market, MSc Thesis, Graduate Institute of Information and
Logistics Management, 2010, China
440. Hu Huang, Hong-BoXie, Jing-YiGuo, Hui-JuanChen, Ant colony
optimization-based feature selection method for surface electromyography
signals classification, Computers in Biology and Medicine (2012), 42, 1, 30-
38.
441. Castillo-Ortega, R., Marín, N., Sánchez, D, Linguistic local change
comparison of time series. IEEE International Conference on Fuzzy
Systems, art. no. 6007409, pp. 2909-2915, 2011
442. Janaki Meena, M., Chandran, K.R., Karthik, A., Vijay Samuel, A., An
Enhanced ACO Algorithm to Select Features for Text Categorization and Its
Parallelization, Expert Systems with Applications (2012), 39, 5, 5861-5871
443. Monica Widiasri, Army Justitia, Agus Zaina Arifin, Penerapan Particle Swarm
Optimization untuk Penentuan Parameter Regularisasi pada Kernel
Regularized Discriminant Analysis, The 13th Industrial Electronics
Seminar 2011 (IES 2011), Electronic Engineering Polytechnic Institute of
Surabaya (EEPIS), Indonesia, October 26, 2011, ISBN: 978-979-8689-14-7,
61-66
444. I-Wei Kao, Chi-Yang Tsai, Yi-Chen Wang, A Novel Approach for Inventory
Classification in Two-Stage Supply Chain System, The 7th International
Conference on Computing and Information Technology, IC2IT2011
445. Binoy B. Nair, V.P. Mohandas, N.R. Sakthivel, Predicting stock market trends
using hybrid ant–colony–based data mining algorithms: an empirical
Curriculum Vitae – Dr. Yannis Marinakis 63
validation on the Bombay Stock Exchange, International Journal of
Business Intelligence and Data Mining, Volume 6, Number 4/2011, 362-381
446. Martin, A. Aswathy. V., V. Prassana Venkatessan, Framing Qualitative
Bankruptcy Prediction Rules Using Ant Colony Algorithm, International
Journal of Computer Applications (0975 – 8887) Volume 41– No.21,
March 2012
447. Song, Q., Effect of Leaky rate on the stability of autonomously echo state
network, Information Technology Journal 11 (7) , pp. 775-781, 2012
448. Bae, C., Yeh, W.-C., Wahid, N., Chung, Y.Y., Liu, Y., A new simplified
swarm optimization (SSO) using exchange local search scheme,
International Journal of Innovative Computing, Information and Control
8 (6) , pp. 4391-4406, 2012
449. Tsai, C.-Y., Kao, I.-W. , Particle swarm optimization with selective particle
regeneration for data clustering, Expert Systems with Applications 38 (6) ,
pp. 6565-6576, 2011
450. K. Khalili-Damghani et al., A hybrid fuzzy rule-based multi-criteria
framework for sustainable project portfolio selection, Information Sciences
(2013), 220 , pp. 442-462 451. Martin, A., Aswathy, V., Balaji, S., Lakshmi, T.M., Venkatesan, V.P. , An
analysis on qualitative bankruptcy prediction using fuzzy ID3 and ant colony
optimization algorithm, International Conference on Pattern Recognition,
Informatics and Medical Engineering, PRIME 2012 , art. no. 6208382 , pp.
416-421
452. Hatamlou, A., Hatamlou, M. , PSOHS: An efficient two-stage approach for
data clustering, Memetic Computing 5 (2) , pp. 155-161, 2013
453. Lazzús, J.A., Hybrid particle swarm-ant colony algorithm to describe the
phase equilibrium of systems containing supercritical fluids with ionic liquids,
Communications in Computational Physics 14 (1) , pp. 107-125, 2013
454. Juan A. Lazzús, Hybrid swarm optimization for vapor–liquid equilibrium
modeling, Journal of Molecular Liquids 196 (2014) 167–177
455. Sina Tabakhi, Parham Moradi, Fardin Akhlaghian, An unsupervised feature
selection algorithm based on ant colony optimization, Engineering
Applications of Artificial Intelligence 32 (2014) 112–123
456. Veenu Mangat, Renu Vig, Novel associative classifier based on dynamic
adaptive PSO: Application to determining candidates for thoracic surgery,
Expert Systems with Applications 41 (2014) 8234–8244
457. Jovanović, M., Delibašić, B., Vukićević, M., Suknović, M., Martić, M.,
Evolutionary approach for automated component-based decision tree
algorithm design, Intelligent Data Analysis, 18 (1), pp. 63-77, 2014
458. Maple, C., Prakash, E., Huang, W., Qureshi, A.N., Taxonomy of optimisation
techniques and applications, International Journal of Computer
Applications in Technology 49 (3-4), pp. 251-262, 2014
459. Huang, J., Wang, H., Wang, W., Xiong, Z., A computational study for feature
selection on customer credit evaluation, Proceedings - 2013 IEEE
International Conference on Systems, Man, and Cybernetics, SMC 2013,
6722260, pp. 2973-2978
The paper ―Pap Smear Diagnosis Using a Hybrid Intelligent Scheme Focusing on
Genetic Algorithm Based Feature Selection and Nearest Neighbor Classification,
Computers in Biology and Medicine, 39, 1, 69-78, 2009‖ is cited by:
Curriculum Vitae – Dr. Yannis Marinakis 64
460. Susan Hasty, Genetics and Genomics, Women‘s Health Weekly, 23 April
2009
461. Jie Lv, Jianzhong Su, Fang Wang, Yunfeng Qi, Hongbo Liu, Yan Zhang,
Detecting Novel hypermethylated genes in Breast cancer benefiting from
feature selection, Computers in Biology and Medicine 40, (2010), 159–167.
462. Malin Björnsdotter Åberg, MACHINE LEARNING FOR IDENTIFICATION
OF BRAIN ACTIVITY PATTERNS WITH APPLICATIONS IN GENTLE
TOUCH PROCESSING, Ph.D. Thesis, Department of Physiology Institute of
Neuroscience and Physiology the Sahlgrenska Academy University of
Gothenburg, 2009, ISBN:978-91-628-7854-2, Printed by Geson Hyltetryck,
Göteborg
463. R. STOEAN, C. STOEAN, M. LUPSOR, H. STEFANESCU, AND R.
BADEA, Evolutionary Conditional Rules versus Support Vector Machines
Weighted Formulas for Liver Fibrosis Degree Prediction, Annals of the
University of Craiova, Mathematics and Computer Science Series Volume
37(1), 2010, Pages 43–54 ISSN: 1223-6934
464. Umberto Morbiducci, Giacomo Di Benedetto, Alexandra Kautzky-Willer,
Marco A. Deriu, Giovanni Pacini, Andrea Tura, Identification of a model of
non-esterified fatty acids dynamics through genetic algorithms: The case of
women with a history of gestational diabetes, Computers in Biology and
Medicine 41 (2011) 146–153
465. Catalin Stoean, Ruxandra Stoean, Monica Lupsor, Horia Stefanescu, Radu
Badea Feature selection for a cooperative coevolutionary classifier in liver
fibrosis diagnosis, Computers in Biology and Medicine (2011), 41, 4, 238-
246.
466. Gorunescu, F., Belciug, S., Gorunescu, M., Badea, R., Intelligent decision-
making for liver fibrosis stadialization based on tandem feature selection and
evolutionary-driven neural network, Expert Systems with Applications
(2012), 39, 12824-12832
467. Lei, Y.-G., He, Z.-J., Advances in applications of hybrid intelligent fault
diagnosis and prognosis technique, Zhendong yu Chongji/Journal of
Vibration and Shock 30 (9) , pp. 129-135
468. Marina E. Plissiti and Christophoros Nikou, Cervical Cell Classification Based
Exclusively on Nucleus Features, A. Campilho and M. Kamel (Eds.): ICIAR
2012, Part II, LNCS 7325, pp. 483–490, 2012. Springer-Verlag Berlin
Heidelberg 2012
469. Yusof, R., Khairuddin, U., Khalid, M., A new mutation operation for faster
convergence in genetic algorithm feature selection, International Journal of
Innovative Computing, Information and Control 8 (10 B) , pp. 7363-7378 ,
2012
470. Marina E. Plissiti and Christophoros Nikou, A Review of Automated
Techniques for Cervical Cell Image Analysis and Classification, D. Iacoviello
and U. Andreaus (eds.), Biomedical Imaging and Computational Modeling
in Biomechanics, Lecture Notes in Computational Vision and Biomechanics
4, DOI 10.1007/978-94-007-4270-3_1, Springer Science+Business Media
Dordrecht 2013
471. Asli Genctav, Selim Aksoy, Sevgen Onder, Unsupervised segmentation and
classification of cervical cell images, Pattern Recognition, 45(12), 4151-
4168.
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472. Özçift, A., Gülten, A., Genetic algorithm wrapped Bayesian network feature
selection applied to differential diagnosis of erythemato-squamous diseases,
Digital Signal Processing: A Review Journal 23 (1) , pp. 230-237, 2013
473. Luz Helena Camargo Casallas, Classification of squamous cell cervical
cytology, Thesis submitted in partial fulfillment of the requirements for
the degree of: Magister en Ingeniera Biomedica, Universidad Nacional de
Colombia Departamento de Imagenes Diagnosticas Bogota D.C., Colombia
2012
474. Chen, Y. , Huang, P. , Lin, K. , Wang, L., Semi-Automatic Segmentation and Classification of Pap Smear Cells, IEEE Journal of Biomedical and Health Informatics, (Volume:18 , Issue: 1 ), 2014, 94-108
475. Kardan, A.A., Kavian, A., Esmaeili, A., Simultaneous feature selection and
feature weighting with K Selection For KNN classification Using BBO
Algorithm, IKT 2013 - 2013 5th Conference on Information and
Knowledge Technology , art. no. 6620092 , pp. 349-354
476. Juan Valentín Lorenzo-Ginori, Wendelin Curbelo-Jardines, José Daniel
López-Cabrera, and Sergio B. Huergo-Suárez, Cervical Cell Classification
Using Features Related to Morphometry and Texture of Nuclei, J. Ruiz-
Shulcloper and G. Sanniti di Baja (Eds.): CIARP 2013, Part II, LNCS 8259,
pp. 222–229, 2013. © Springer-Verlag Berlin Heidelberg 2013
477. Ling Zhang, Hui Kong, Chien Ting Chin, Shaoxiong Liu, Xinmin Fan, Tianfu
Wang, Siping Chen, Automation-Assisted Cervical Cancer Screening in
Manual Liquid-Based Cytology With Hematoxylin and Eosin Staining,
Cytometry Part A, DOI: 10.1002/cyto.a22407, 2013
478. Kalliopi V. Dalakleidi, Konstantia Zarkogianni, Vassilios G. Karamanos,
Anastasia C. Thanopoulou and Konstantina S. Nikita, A Hybrid Genetic
Algorithm for the Selection of the Critical Features for Risk Prediction of
Cardiovascular Complications in Type 2 Diabetes Patients, 2013 IEEE 13th
International Conference on Bioinformatics and Bioengineering (BIBE),
10-13 Nov. 2013, Chania, Greece, IEEE DOI: 10.1109/BIBE.2013.6701620
479. Ling Zhang, Hui Kong, Chien Ting Chin, Shaoxiong Liu, Zhi Chen,Tianfu
Wang, Siping Chen, Segmentation of cytoplasm and nuclei of abnormal cells
in cervicalcytology using global and local graph cuts, Computerized Medical
Imaging and Graphics 38 (2014) 369–380
480. Alain Rakotomamonjy, Caroline Petitjean, Mathieu Salaün, Luc Thiberville,
Scattering features for lung cancer detection in fibered confocalfluorescence
microscopy images, Artificial Intelligence in Medicine 61 (2014) 105–118
481. Zhang, L., Kong, H., Chin, C.T., Wang, T., Chen, S., Cytoplasm segmentation
on cervical cell images using graph cut-based approach, Bio-Medical
Materials and Engineering, 24 (1), pp. 1125-1131, 2014
482. Guan, D., Yuan, W., Lee, Y.-K., Najeebullah, K., Rasel, M.K., A review of
ensemble learning based feature selection, IETE Technical Review
(Institution of Electronics and Telecommunication Engineers, India), 31
(3), pp. 190-198, 2014
483. Chen, Y.-F., Huang, P.-C., Lin, K.-C., Chan, Y.-K., Chiang, J.Y., Semi-
automatic segmentation and classification of pap smear cells, IEEE Journal
of Biomedical and Health Informatics, 18 (1), 6482573, pp. 94-108, 2014
Curriculum Vitae – Dr. Yannis Marinakis 66
The paper ―An Evolutionary Approach to Construction of Outranking Models for
Multicriteria Classification: The Case of the ELECTRE TRI Method, European
Journal of Operational Research, 199, 496-505, 2009‖ is cited by:
484. Fasanghari, M.; Mohamedpour, M.; Mohamedpour, M.A., A Novel Method
Combining ORESTE, Fuzzy Set Theory, and TOPSIS Method for Ranking the
Information and Communication Technology Research Centers of Iran. Sixth
International Conference on Information Technology: New Generations,
2009. ITNG '09. 27-29 April 2009, Page(s): 165-170, Digital Object Identifier
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485. Fernandez E, Lopez, E., Bernal, S., Coello Coello, C.A., Navarro, J.
Evolutionary multiobjective optimization using an outranking-based
dominance generalization. Computers and Operations Research (2010), 37,
2, 390-395.
486. Feras Al-Obeidat, Nabil Belacel, Juan A. Carretero, Prabhat Mahanti,
Differential Evolution for Learning the Classification Method PROAFTN,
Knowledge-Based Systems, (2010), 23, 5, 418-426.
487. Chrysovalantis Gaganis, Fotios Pasiouras, Michael Doumpos and Constantin
Zopounidis, Modelling banking sector stability with multicriteria approaches,
Optimization Letters, (2010), 4, 4, 543-558.
488. Michael Doumpos and Constantin Zopounidis, Preference Disaggregation
and Statistical Learning for Multicriteria Decision Support: A Review,
European Journal of Operational Research, (2011), 209, 3, 203-214.
489. Chun-Che Huang, Tzu-Liang (Bill) Tseng, Horng-Fu Chuang, Ying-Ling
Hsieh, Attribute-Oriented Rule Induction Using Rough Set Theory: A Case
Study of Customer Relationship Management, International Conference
on Business and Information, July 5-7, 2010, Rihga Royal Hotel Kokura,
Kitakyushu, Japan
490. Michael Doumpos and Constantin Zopounidis, Disaggregation Analysis and
Statistical Learning: An Integrated Framework for Multicriteria Decision
Support, Handbook of Multicriteria Analysis, Vol 103, pp. 215-240,
Springer, 2010.
491. Jose Rui Figueira, Salvatore Greco, Bernard Roy and Roman Słowiński,
ELECTRE Methods: Main Features and Recent Developments, Handbook of
Multicriteria Analysis, Vol 103, pp. 51-89, Springer, 2010.
492. E. Fernandez, E. Lopez, F. Lopez, C.A. Coello Coello, Increasing selective
pressure towards the best compromise in evolutionary multiobjective
optimization: The extended nosga method, Information Sciences (2011), 181,
1, 44-56.
493. Jaroslaw Arabas, Adam Szczepankiewicz, and Tomasz Wroniak,
Experimental Comparison of Methods to Handle Boundary Constraints in
Differential Evolution, R. Schaefer et al. (Eds.): PPSN XI, Part II, LNCS
6239, pp. 411–420, 2010, Springer-Verlag Berlin Heidelberg 2010
494. Hatami-Marbini A, Tavana M. An extension of the Electre I method for group
decision-making under a fuzzy environment. Omega (2011), 39, 4, 373-386.
495. Chung, Wingyan and Tseng, Tzu-Liang (Bill), "Extracting Business
Intelligence from Online Product Reviews: An Experiment of Automatic Rule-
Induction" (2010). ICIS 2010 Proceedings. Paper 233.
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496. Fernandez, E., Navarro, J., A new approach to multi-criteria sorting based on
fuzzy outranking relations: the theseus method, European Journal of
Operational Research (2011), 213, 2, 405-413
497. Michael Doumpos and Constantin Zopounidis, A Multicriteria Outranking
Modeling Approach for Credit Rating, Decision Sciences, A Journal of the
Decision Science Institute, Volume 42, Number 3, 721-742, August 2011
498. Jun Zheng, Olivier Cailloux, and Vincent Mousseau, Constrained Multicriteria
Sorting Method Applied to Portfolio Selection, R.I. Brafman, F. Roberts, and
A. Tsoukias (Eds.): ADT 2011, LNAI 6992, pp. 331–343, 2011. Springer-
Verlag Berlin Heidelberg 2011
499. M. MEDINECKIENE, E.K. ZAVADSKAS, Z. TURSKIS, Dwelling selection
by applying fuzzy game theory, ARCHIVES OF CIVIL AND
MECHANICAL ENGINEERING, Vol. XI, No. 3, 2011, 681-697
500. Eduardo Fernández González, Edy López Cervantes, Jorge Navarro Castillo e
Inés Vega López, Application of Multi-Objective Metaheuristics to Public
Portfolio Selection Through Multidimensional Modelling of Social Return,
Gestión y Política Pública, VOLUMEN XX . NÚMERO 2 . II SEMESTRE
DE 2011 . PP. 381-432
501. Dimitrios Andriosopoulos, Chrysovalantis Gaganis, Fotios Pasiouras and
Constantin Zopounidis, An application of multicriteria decision aid models in
the prediction of open market share repurchases, Omega, (2012), 40, 6, 882-
890
502. Gilberto Rivera, Claudia G. Gómez, Eduardo R. Fernández, Laura Cruz, Oscar
Castillo, and Samantha S. Bastiani, Handling of Synergy into an Algorithm for
Project Portfolio Selection O. Castillo et al. (Eds.): Recent Advances on
Hybrid Intelligent Systems, SCI 451, pp. 417–430, © Springer-Verlag Berlin
Heidelberg 2013
503. Rolland, A., Reference-based Preferences Aggregation Procedures in
Multicriteria Decision Making, European Journal of Operational Research
(2013), 225(3), 479-486
504. S. Silas, E.B. Rajsingh, K. Ezra, Efficient Service Selection Middleware using
ELECTRE methodologies for cloud environments, Information Technology
Journal, 2012, 11(7), 868-875
505. Chung, W., Tseng, T-L., Discovering Business Intelligence from Online
Product Reviews: ARule-InductionFramework, Expert Systems with
Applications (2012), 39(15), 11870-11879.
506. Sousa, R., Yevseyeva, I., Da Costa, J.F.P., Cardoso, J.S. , Multicriteria models
for learning ordinal data: A literature review, Studies in Computational
Intelligence 427 , pp. 109-138, 2013
507. Valentina Minnetti, Renato De Leone, The Estimation Of The Parameters Of
The Electre Tri Method: A Proposal Of A New Two Step Procedure, 43rd
Annual Conference of the Italian Operational Research Society Graph
Algorithms and Optimization Vietri sul Mare (SA), September 4-7 2012
508. Olivier SOBRIE and Marc PIRLOT, Implementation of ELECTRE TRI in an
Open Source GIS, European Working Group ―Multiple Criteria Decision
Aiding‖, Series 3, nº26, Fall 2012, 14-18.
509. Fernandez Eduardo, Navarro Jorge, Mazcorro Gustavo, Evolutionary multi-
objective optimization for inferring outranking model‘s parameters under
scarce reference information and effects of reinforced preference,
Foundations of Computing and Decision Sciences, 2012, 37(3), 163-197.
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510. Fernandez, E., Lopez, E., Mazcorro, G., Olmedo, R., Coello Coello, C.A.,
Application of the non-outranked sorting genetic algorithm to public project
portfolio selection, Information Sciences 228 , pp. 131-149, 2013
511. José Rui Figueira, Salvatore Greco, Bernard Roy, Roman Słowiński, An
Overview of ELECTRE Methods and their Recent Extensions, Journal of
Multi-Criteria Decision Analysis, Volume 20, Issue 1-2, pages 61–85,
January-April 2013
512. Jun ZHENG, Preference Elicitation for Aggregation Models based on
Reference Points : Algorithms and Procedures, Ph.D. Thesis, ÉCOLE
CENTRALE DES ARTS ET MANUFACTURES « ÉCOLE CENTRALE
PARIS », 2012
513. Sobrie, O., Mousseau, V., Pirlot, M., Learning a majority rule model from
large sets of assignment examples, Lecture Notes in Computer Science
(including subseries Lecture Notes in Artificial Intelligence and Lecture Notes
in Bioinformatics) 8176 LNAI , pp. 336-350, 2013.
514. Marco Corazza, Stefania Funari, and Riccardo Gusso, A Methodological
Proposal for an Evolutionary Approach to Parameter Inference in MURAME-
Based Problems, S. Bassis et al. (eds.), Recent Advances of Neural Network
Models and Applications, Smart Innovation, Systems and Technologies
26, DOI: 10.1007/978-3-319-04129-2_8, © Springer International Publishing
Switzerland 2014, 75-86
515. Salaja S, Novel service selection frameworks for pervasive environment and
its analysis in health care and social network services, Ph.D. Thesis,
Department of Computer Science and Technology, Karunya University, 2012
516. Laura Cruz, Eduardo R. Fernandez, Claudia G. Gomez and Gilberto Rivera,
Multicriteria optimization of interdependent project portfolios with ‗a priori‘
incorporation of decision maker preferences, Eureka-2013. Fourth
International Workshop Proceedings, Published by Atlantis Press, 169-178.
517. Laura Cruz-Reyes, Eduardo Fernandez, Rafael Olmedo, Patricia Sanchez,
Jorge Navarro, Preference Incorporation into Evolutionary Multiobjective
Optimization using Preference Information Implicit in a Set of Assignment
Examples, Eureka-2013. Fourth International Workshop Proceedings,
Published by Atlantis Press, 179-187
518. Jun Zheng, Stéphane Aimé Metchebon Takougang, Vincent Mousseau, Marc
Pirlot, Learning criteria weights of an optimistic ELECTRE TRI sorting rule,
Computers & Operations Research 49 (2014) 28–40.
519. Cruz, L., Fernandez, E., Gomez, C., Rivera, G., Perez. F. Many-objective
portfolio optimization of interdependent projects with 'a priori' incorporation
of decision-maker preferences, Applied Mathematics and Information
Sciences 8 (4), pp. 1517-1531, 2014
520. Fernández, E., Navarro, J., Mazcorro, G. An evolutionary multi-objective
algorithm for inferring parameters in outranking-based decision models: The
case of the electre 3 method, Studies in Computational Intelligence 537, pp.
397-413, 2014
521. Corazza, M., Funari, S., Gusso, R., Particle Swarm Optimization for
preference disaggregation in multicriteria credit scoring problems,
Mathematical and Statistical Methods for Actuarial Sciences and
Finance, pp. 119-130, 2014
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The paper ―Evolution of the Population of a Genetic Algorithm using Particle Swarm
Optimization. Application to Clustering Analysis, Operational Research, An
International Journal, 9, 105-120, 2009‖ is cited by:
522. Zidan Shan, A Self-Adapting Improvement Particles Swarm Optimization
Algorithm and Application in Multi-Criteria Group Decision-making, 2011
International Conference on Electronic & Mechanical Engineering and
Information Technology, 12-14 August 2011 978-l-61284-088-8/ll/$26.00
©2011 IEEE, 670-673.
The paper ―Intelligent and Nature Inspired Optimization Methods in Medicine: The
Pap-Smear Cell Classification Problem‖, Expert Systems. The Journal of Knowledge
Engineering, 26, 5, 433-457, 2009‖ is cited by:
523. Satchidananda Dehuri, Rahul Roy, Sung-Bae Cho, Ashish Ghosh, An
Improved Swarm Optimized Functional Link Artificial Neural Network (ISO-
FLANN) for Classification, The Journal of Systems & Software (2012), 85,
6, 1333-1345.
524. Emilio Corchado, Javier Sedano, Leticia Curiel and Jose R. Villar, Optimizing
the operating conditions in a high precision industrial process using soft
computing techniques, Expert Systems. The Journal of Knowledge
Engineering, 29 (3) , pp. 276-299, 2012
The paper ―Multiple Phase Neighborhood Search GRASP based on Lagrangean
Relaxation, Random Backtracking Lin-Kernighan and Path Relinking for the
Traveling Salesman Problem‖, Journal of Combinatorial Optimization, 17, 134-156,
2009‖ is cited by:
525. Wenjun Wang, Improved Genetic Algorithm for Vehicle Routing Problem with
Time Windows, 2010 International Conference on Intelligent Computing
and Cognitive Informatics
526. Yun Yao Li, Chang Shi Liu, An Effective Genetic Algorithm for the Vehicle
Routing Problem with Multiple Depots, Advanced Materials Research
(Volumes 204 - 210), 283-287, DOI: 10.4028/www.scientific.net/AMR.204-
210.283, February 2011
527. GAO Gui-bing, ZHANG Guo-jun, HUANG Gang, ZHU Hai-ping, GU Pei-
hua, Solving material distribution routing problem in mixed manufacturing
systems with a hybrid multi-objective evolutionary algorithm, J. Cent. South
Univ. (2012) 19: 433−442, DOI: 10.1007/s11771−012−1022−5, Springer
528. Paola Festa and Mauricio G.C. Resende, Hybridizations of GRASP with Path-
Relinking, E.-G. Talbi (Ed.): Hybrid Metaheuristics, SCI 434, pp. 135–155,
Springer-Verlag Berlin Heidelberg 2013
529. Luo, J., Hu, Y., A new GRASP and path relinking for single machine
scheduling with sequence dependent setups, IEEE International Conference
on Control and Automation, ICCA , art. no. 6565014 , pp. 490-495 , 2013
530. Misevičius, A., Blaţinskas, A., Lenkevičius, A., Modified local search
heuristics for the symmetric traveling salesman problem, Information
Technology and Control 42 (3) , pp. 217-230, 2013
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The paper ―A Stochastic Nature Inspired Metaheuristic for Clustering Analysis,
International Journal of Business Intelligence and Data Mining, 3, 1, 30-44, 2008‖ ‖
is cited by:
531. J.Arunadevi, Dr.V.Rajamani, Optimized routing in Mobile Ad Hoc Networks
using Evolutionary Location Intelligence, Second International Conference
on Computing, Communication and Networking Technologies, Karur,
Tamilandu, India, 29-31 July 2010.
532. J.Arunadevi, Dr.V.Rajamani, Optimized routing in Mobile Ad Hoc Networks
using Evolutionary Location Intelligence, IJCA Special Issue on Mobile Ad
Hoc Networks, 2010, 120-123.
533. Ahmad, Waseem, Narayanan, Ajit (2010) Humoral-mediated clustering,
IEEE Fifth International Conference on Bio-Inspired Computing:
Theories and Applications (BIC-TA), DΟΙ: 10.1109/BICTA.2010.5645279
Publication Year: 2010 , Page(s): 1471 - 1481
534. Waseem Ahmad, Ajit Narayanan, Humoral Artificial Immune System (HAIS)
For Supervised Learning, 2010 Second World Congress on Nature and
Biologically Inspired Computing Dec. 15-17, 2010 in Kitakyushu, Fukuoka,
Japan
535. Waseem Ahmad, Ajit Narayanan, Humoral Outlier Detection using Humoral-
mediated Clustering (HAIS) 2010 Second World Congress on Nature and
Biologically Inspired Computing Dec. 15-17, 2010 in Kitakyushu, Fukuoka,
Japan
536. Waseem Ahmad and Ajit Narayanan, Population-Based Artificial Immune
System Clustering Algorithm, P. Liò, G. Nicosia, and T. Stibor (Eds.):
ICARIS 2011, LNCS 6825, pp. 348–360, 2011. © Springer-Verlag Berlin
Heidelberg 2011
537. Waseem Ahmad and Ajit Narayanan, Principles and Methods of Artificial
Immune System Vaccination of Learning Systems, P. Liò, G. Nicosia, and T.
Stibor (Eds.): ICARIS 2011, LNCS 6825, pp. 268–281, 2011. © Springer-
Verlag Berlin Heidelberg 2011
538. Waseem Ahmad and Ajit Narayanan, Humoral Artificial Immune System
(HAIS) for supervised learning, International Journal of Computational
Intelligence and Applications 11 (1) , art. no. 1250004, 2012
539. Waseem Ahmad and Ajit Narayanan, Outlier detection using humoral-
mediated clustering (HAIS), International Journal of Computational
Intelligence and Applications 11 (1) , art. no. 1250003, 2012
540. Binoy B. Nair, V.P. Mohandas, N.R. Sakthivel, Predicting stock market trends
using hybrid ant–colony–based data mining algorithms: an empirical
validation on the Bombay Stock Exchange, International Journal of
Business Intelligence and Data Mining, Volume 6, Number 4/2011, 362-381
541. Chun-Wei Tsai, Ko-Wei Huang, Chu-Sing Yang, Ming-Chao Chiang, A fast
particle swarm optimization for clustering, Soft Comput DOI
10.1007/s00500-014-1255-3
542. Pazouki, M., Sepehri, M.M., Saberifiroozi, M., Discovering hidden cluster
structures in patients with cirrhosis based on laboratory data, Govaresh, 19
(3), pp. 191-197, 2014
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The paper ―A Particle Swarm Optimization Algorithm with Path Relinking for the
Location Routing Problem, Journal of Mathematical Modelling and Algorithms, 7, 1,
59-78, 2008‖ is cited by:
543. Vincent Gardeux, Optimisation par Essaim Particulaire, Memoire Adaptative,
Reserche Tabu, Thesis, Paris, 2008
544. Dalila Benedita Machado Martins Fontes, António Gaspar Lopes da Cunha,
Carlos Manuel Milheiro de Oliveira Pinto Soares, Fernando Arménio da Costa
Castro e Fontes, Jorge Miguel Silva Valente, Maria do Rosário Mota de
Oliveira Alves Moreira, Rui Alberto Ferreira Santos Alves, FCT Project
PTDC/EGE-GES/099741/2008, Evolutionary algorithms for Decision
Problems in Management Science.
545. Shih-Wei Lin, Vincent F. Yu, Wenyih Lee, Ching-Jung Tig, Solving the
Location Routing Problem Based on a Simulated Annealing Heuristic, POMS
20th Annual Conference Orlando, Florida U.S.A. May 1 to May 4, 2009
546. Vincent F. Yu, Shih-Wei Lin, Wenyih Lee, Ching-Jung Tig, A Simulated
Annealing Heuristic for the Capacitated Location Routing Problem,
Computers and Industrial Engineering, (2010), 58, 2, 288-299.
547. Frank Plastria, Comments on: Routing problems with loading constraints, Top
(2010) 18: 34–35, DOI 10.1007/s11750-010-0142-z
548. Matheus Rosendo, and Aurora Pozo, Applying a Discrete Particle Swarm
Optimization Algorithm to Combinatorial Problems, 2010 Eleventh Brazilian
Symposium on Neural Networks, 2010
549. Rosendo, Matheus; Pozo, Aurora; A hybrid Particle Swarm Optimization
algorithm for combinatorial optimization problems 2010 IEEE Congress on
Evolutionary Computation (CEC), Digital Object Identifier:
10.1109/CEC.2010.5586178 Publication Year: 2010 , Page(s): 1 – 8
550. Matheus Rosendo, Um Algoritmo de Otimizacao por nuvem de Particulas de
problemas combinatorios, Phd thesis, Universida de federal do Parana,
Curitiba 2010
551. Aras, Necati; Aksen, Deniz; Tekin, Tugrul; Location and selective routing
problem with pricing for the collection of used products. 40th International
Conference on Computers and Industrial Engineering (CIE), Publication
Year: 2010, Page(s): 1 – 6, DOI: 10.1109/ICCIE.2010.5668217.
552. Karaoglan, I., Altiparmak, F., Kara, I., Dengiz, B., A Branch and Cut
Algorithm for the Location-Routing Problem with Simultaneous Pickup and
Delivery, European Journal of Operational Research (2011), 211, 318-332
553. Fazel Zarandi, M.H., Hemmati, A., Davari, S., The Multi-depot Capacitated
Location-Routing Problem with Fuzzy Travel Times, Expert Systems with
Applications (2011), 38, 8, 10075-10084.
554. Vassilios Vassiliadis and Giorgos Dounias, Nature-Inspired Intelligence in
Supply Chain Management: A Review of Selected Methods and Applications,
in Supply Chain Optimization, Design, and Management: Advances and
Intelligent Methods, Editors: Ioannis Minis, Vasileios Zeimpekis, Georgios
Dounias, Nicholas Ampazis, 2011, 1-31, IGI Global, DOI:
10.4018/9781615206339.ch001
555. Marina Yusoff, Junaidah Ariffin, and Azlinah Mohamed, A Multi-valued
Discrete Particle Swarm Optimization for the Evacuation Vehicle Routing
Problem, Y. Tan et al. (Eds.): ICSI 2011, Part I, LNCS 6728, pp. 182–193,
2011. © Springer-Verlag Berlin Heidelberg 2011
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556. Marina Yusoff, Junaidah Ariffin, and Azlinah Mohamed, Discrete Particle
Swarm Optimization for Solving a Single to Multiple Destinations in
Evacuation Planning, Recent Researches in Computational Techniques,
Non-Linear Systems and Control, ISBN: 978-1-61804-011-4, 270-276
557. Rui Jorge Ferreira Soares Borges Lopes, Location-Routing Problems of Semi-
Obnoxious Facilities: Approaches and Decision Support, Ph.D. Thesis,
Departamento de Economia, Gestão e Engenharia Industrial, Universidade de
Aveiro 2011
558. Ali Bozorgi-Amiri, Mohammad Saeid Jabalameli, Mehdi Alinaghian, Mahdi
Heydari, A modified particle swarm optimization for disaster relief logistics
under uncertain environment, International Journal of Advanced
Manufacturing Technology, (2012), 60, 1-4, 357-371.
559. Ismail Karaoglan, Fulya Altiparmak, Imdat Kara and Berna Dengiz, The
location-routing problem with simultaneous pick up and delivery:
Formulations and a heuristic approach, Omega, (2012), 40, 4, 465-477.
560. Su, S., Yu, S., Ma, Y., Yang, Y., Xu, H., Routing on a spherical surface using
hybrid PSO, Communications in Computer and Information Science 237
CCIS, 2011, pp. 43-51, © Springer-Verlag Berlin Heidelberg 2011
561. Nadizadeh, A., Sahraeian, R., Zadeh, A.S., Homayouni, S.M., Using greedy
clustering method to solve capacitated location-routing problem, African
Journal of Business Management 5 (21), pp. 8470-8477, 2011
562. Mohammad Mahdi Nasiri, A pseudo particle swarm optimization for the
RCPSP, International Journal of Advanced Manufacturing Technology,
(2013), 65, 909-918, DOI 10.1007/s00170-012-4227-8
563. M.H.F. Zarandi, A. Hemmati, S. Davari, I. Burhan Turksen, Capacitated
location-routing problem with time windows under uncertainty, Knowledge-
Based Systems (2013), 37 , pp. 480-489
564. Ching-Jung Ting and Chia-Ho Chen, A Multiple Ant Colony Optimization
Algorithm for the Capacitated Location Routing Problem, International
Journal Production Economics, 141 (1) , pp. 34-44
565. Lopes, R.B., Ferreira, C., Santos, B.S., Barreto, S., A taxonomical analysis,
current methods and objectives on location-routing problems, International
Transactions in Operational Research 20 (6) , pp. 795-822, 2013
566. Mohammadi, M., Razmi, J., Tavakkoli-Moghaddam, R., Multi-objective
invasive weed optimization for stochastic green hub location routing problem
with simultaneous pick-ups and deliveries, Economic Computation and
Economic Cybernetics Studies and Research 47 (3) , pp. 247-266
567. Martínez-Salazar, I.A., Molina, J., Ángel-Bello, F., Gómez, T., Caballero, R. ,
Solving a bi-objective transportation location routing problem by
metaheuristic algorithms, European Journal of Operational Research 234
(1) , pp. 25-36, 2014
568. Sahar Validi, Arijit Bhattacharya & P.J. Byrne Integrated low-carbon
distribution system for the demand side of a product distribution supply chain:
a DoE-guided MOPSO optimiser-based solution approach, International
Journal of Production Research, 52(10), 3074-3096, DOI:
10.1080/00207543.2013.864054, 2014
569. Karaoglan I, Altiparmak F. A memetic algorithm for the capacitated location-
routing problem with mixed backhauls. Computers and Operations
Research (2014), http://dx.doi.org/10.1016/j.cor.2014.06.009i
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570. Sahar Validi, Arijit Bhattacharya, P.J. Byrne, A solution method for a two-
layer sustainable supply chain distribution model, Computers and
Operations Research (2014), http://dx.doi.org/10.1016/j.cor.2014.06.015i
571. Vincent F. Yu, Shin-Yu Lin, A simulated annealing heuristic for the open
location-routing problem, Computers & Operations Research, http:
//dx.doi.org/10.1016/j.cor.2014.10.009
572. Zarandi, M.H.F., Hemmati, A., Davari, S., Turksen, I.B., A simulated
annealing algorithm for routing problems with fuzzy constrains, Journal of
Intelligent and Fuzzy Systems, 26 (6), pp. 2649-2660, 2014
The paper ―A Hybrid Stochastic Genetic GRASP Algorithm for Clustering Analysis,
Operational Research, An International Journal, 8, 1, 33-46, 2008‖ is cited by:
573. Dervis Karaboga and Celal Ozturk, A Novel Clustering Approach: Artificial
Bee Colony (ABC) Algorithm, Applied Soft Computing, 2011, 11, 1, 652-
657.
574. Maria Cristina Vasconcelos Nascimento, Metaheuristicas para o problema de
agrupamento de dados em grafo, Ph.D. Instituto de Ciencias Matematicas e de
Computacao – ICMC-USP, 2010, Brazil
575. J. Senthilnath, S.N. Omkar, V. Mani, Clustering using firefly algorithm:
Performance study, Swarm and Evolutionary Computation (2011), 1, 3,
164-171.
576. J. Senthilnath, Vipul Das, S.N. Omkar, V. Mani, Clustering using Levy Flight
Cuckoo Search, J. C. Bansal et al. (eds.), Proceedings of Seventh
International Conference on Bio-Inspired, Computing: Theories and
Applications (BIC-TA 2012), Advances in Intelligent Systems and
Computing 202, DOI: 10.1007/978-81-322-1041-2 Σ Springer India 2013,
65-75
577. Hoseinkhani, F. , Parcham, E. , Pournazary, M. , Borzue, N., Speech Recognition by Classifying Speech Signals Based on the Fire Fly and Fuzzy, Advanced International Conference on Computer Science Applications and Technologies (ACSAT), 2012 , 26-28 Nov. 2012, 187-191, Kuala Lumpur
578. Zeev Volkovich, Gerhard–Wilhelm Weber, Renata Avros, Orly Yahalom, On
an adjacency cluster merit approach International Journal of Operational
Research, Volume 13, Number 3/2012, 239-255
579. José Augusto Fioruci, Franklina M.B. Toledo, Mariá Cristina V. Nascimento
Heuristics for minimizing the maximum within-clusters distance, Pesquisa
Operacional, vol.32 no.3 Rio de Janeiro Sept./Dec. 2012,
http://dx.doi.org/10.1590/S0101-74382012005000023
The paper ―Particle Swarm Optimization for Pap-Smear Diagnosis, Expert Systems
with Applications, 35, 1645-1656, 2008‖ is cited by:
580. Ioannis Vlahavas, Aristidis Likas and Georgios Paliouras (2008), Machine
Learning and Neural Networks, Special Edition of EETN.
581. Mohamed JEBALIA, “Optimisation par Stratégies d‘Évolution: Convergence
et vitesses de convergence pour des fonctions bruitées - Résolution d‘un
problème d‘identification‖, Ph.D. Thesis, THÈSE DE DOCTORAT DE
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L‘ÉCOLE POLYTECHNIQUE DE TUNISIE & L‘UNIVERSITÉ PIERRE
ET MARIE CURIE, 2008
582. Seyed-Hamid Zahiri and Seyed-Alireza Seyedin, Using Multi-Objective
Particle Swarm Optimization for Designing Novel Classifiers, Studies in
Computational Intelligence, Swarm Intelligence for Multi-objective
Problems in Data Mining, 2009, Vol 242, 65-92.
583. Alejandro Cervantes Rovira, Clasificacion mediante Enjambre de Prototipos,
Ph. D. Thesis, Universidad Carlos III de Madrid Departamento de
Informatica, 2009
584. Torun, Y. Tohumoglu, G. , A new fuzzy classifier based on simulated
annealing and subtractive clustering, 17th IEEE Conference on Signal
Processing and Communications Applications, 2009. SIU 2009.
585. dos Santos Coelho, L., Gaussian Quantum-Behaved Particle Swarm
Optimization Approaches for Constrained Engineering Design Problems,
Expert Systems with Applications (2010), 37, 1676-1683
586. Loris Nanni, Alessandra Lumini, Sheryl Brahnam, Local binary patterns
variants as texture descriptors for medical image analysis. Artificial
Intelligence in Medicine (2010), 49, 2, 117-125.
587. Jingzheng Ren, Shiyu Tan, Lichun Dong, Siran He, Xiao Ji, Optimization of
the Reflux Ratio for a Stage Distillation Column Based on an Improved
Particle Swarm Algorithm, Chemical and Process Engineering, 2010, 31,
15–24
588. Noor A. Samsudin and Andrew P. Bradley, Nearest neighbour group based
classification, Pattern Recognition, 43, 10, 3458-3467.
589. Torun, Y. Tohumoglu, G., Designing Simulated Annealing and Subtractive
clustering based fuzzy classifier, Applied Soft Computing (2011), 11, 2,
2193-2201.
590. Dexuan Zou, Liqun Gao, Jianhua Wu and Steven Li, Novel global harmony
search algorithm for unconstrained problems, Neurocomputing, (2010), 73,
16-18, 3308-3318.
591. Nanni, L., Brahnam, S., Lumini, A., Combining different Local Binary Pattern
variants to boost performance, Expert Systems with Applications (2011), 38,
5, 6209-6216.
592. Plissiti, M.E., Nikou, C., Charchanti, A., Combining Shape, Texture and
Intensity Features for Cell Nuclei Extraction in Pap Smear Images, Pattern
Recognition Letters (2011), 32, 6, 838-853.
593. Cheng, Z., Ma, Y., Control chart pattern recognition based on PSO and LS-
SVM, Transactions Hong Kong Institution of Engineers, Volume 17, Issue
1, March 2010, Pages 7-10
594. H. Kahramanli, N. Allahverdi, Particle Swarm Optimization with Flexible
Swarm for Solving Constrained Optimization Problems, 6th International
Advanced Technologies Symposium (IATS’11), 16-18 May 2011, Elazığ,
Turkey
595. Ehsan Valian, Shahram Mohanna and Saeed Tavakoli, IMPROVED
CUCKOO SEARCH ALGORITHM FOR FEEDFORWARD NEURAL
NETWORK TRAINING, International Journal of Artificial Intelligence &
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596. Loris Nanni, Sheryl Brahnam, Alessandra Lumini, A simple method for
improving local binary patterns by considering non-uniform patterns, Pattern
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597. Miloslav Hajek and Yashik Singh, Medical AI–HIV/AIDS Treatment
Management System, Beyond AI: Interdisciplinary Aspects of Artificial
Intelligence, Jan Romportl, Pavel Ircing, Eva Zackova, Radek Schuster,
Michal Polak, Proceedings of The International Conference Beyond AI 2011
Pilsen, Czech Republic, December 8–9, 2011
598. Marina E. Plissiti and Christophoros Nikou, Cervical Cell Classification Based
Exclusively on Nucleus Features, A. Campilho and M. Kamel (Eds.): ICIAR
2012, Part II, LNCS 7325, pp. 483–490, 2012. Springer-Verlag Berlin
Heidelberg 2012
599. Marina E. Plissiti and Christophoros Nikou, A Review of Automated
Techniques for Cervical Cell Image Analysis and Classification, D. Iacoviello
and U. Andreaus (eds.), Biomedical Imaging and Computational Modeling
in Biomechanics, Lecture Notes in Computational Vision and Biomechanics
4, DOI 10.1007/978-94-007-4270-3_1, Springer Science+Business Media
Dordrecht 2013
600. Rodríguez-González, A., Torres-Niño, J., Hernández-Chan, G., Jiménez-
Domingo, E., Alvarez-Rodríguez, J.M., Using Agents to Parallelize a Medical
Reasoning System Based on Ontologies and Description Logics as an
Application Case, Expert Systems with Applications (2012), 39 (18) , pp.
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601. C. Bergmeir, M.G. Silvente, J.M. Benítez., Segmentation of cervical cell
nuclei in high-resolution microscopic images: A new algorithm and a web-
based software framework, Comput. Methods Programs Biomed. (2012),
107 (3) , pp. 497-512
602. Leitao, P., Barbosa, J., Trentesaux, D, Bio-inspired multi-agent systems for
reconfigurable manufacturing systems. Engineering Applications of
Artificial Intelligence (2011), 25 (5) , pp. 934-944
603. Zhao, J., Han, C., Han, D., Wei, B. , A multi-population univariate marginal
distribution algorithm for feature selection, 2012 Spring World Congress on
Engineering and Technology, SCET 2012 - Proceedings , art. no. 6342084
604. Plissiti, M.E., Nikou, C., Overlapping cell nuclei segmentation using a
spatially adaptive active physical model, IEEE Transactions on Image
Processing 21 (11) , art. no. 6226464 , pp. 4568-4580, 2012
605. Zhao, J., Han, C., Wei, B., Zhao, Q., Xiao, P., Zhang, K. , Feature selection
based on particle swarm optimal with multiple evolutionary strategies, 15th
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606. Ruoping, L., Xiangyong, K., Liqun, G., Dexuan, Z., Practicably optimal point
and its solution in deterministic system, Applied Mechanics and Materials
190-191 , pp. 143-146, 2012
607. Luz Helena Camargo Casallas, Classification of squamous cell cervical
cytology, Thesis submitted in partial fulfillment of the requirements for
the degree of: Magister en Ingeniera Biomedica, Universidad Nacional de
Colombia Departamento de Imagenes Diagnosticas Bogota D.C., Colombia
2012
608. H. Kahramanli, N. Allahverdi, Particle Swarm Optimization with Flexible
Swarm for Solving Constrained Optimization Problems, International
Journal of Intelligent Systems and Applications in Engineering, 1, 1, 2013
609. Ahmed Ahmed El-Sawy, Elsayed M. Zaki, and R. M. Rizk-Allah, Hybridizing
Ant colony Optimization With Firefly Algorithm For Unconstrained
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Optimization Problems, The Online Journal on Computer Science and
Information Technology (OJCSIT), Vol. (3), No. (3), 185-193
610. Cervante, L., Xue, B., Shang, L., Zhang, M., Binary particle swarm
optimisation and rough set theory for dimension reduction in classification,
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611. Rizk-Allah, R.M., Zaki, E.M., El-Sawy, A.A., Hybridizing ant colony
optimization with firefly algorithm for unconstrained optimization problems,
Applied Mathematics and Computation 224 , pp. 473-483, 2013
612. Bing Xue, Mengjie Zhang, Will N. Browne, Particle Swarm Optimisation for
Feature Selection in Classification: Novel Initialisation and Updating
Mechanisms, Applied Soft Computing Journal (2014), 18, 261-276
613. Xue, B., Cervante, L., Shang, L., Browne, W.N., Zhang, M. , Binary PSO and
rough set theory for feature selection: A multi-objective filter based approach,
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Salesman Problem, Optimization Letters, 2, 3, 351-361, 2008‖ is cited by:
614. Christian Agerbeck and Mikael Hansen, A Multi-Agent Approach for Solving
NP-Complete Problems, MSc Thesis, Technical University of Denmark,
Informatics and Mathematical Modeling, 2008
615. P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo. Estimation-based
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616. P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo. Estimation-based
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617. Y-H. Liu, Different Initial Solution Generators in Genetic Algorithms for
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618. Prasanna BALAPRAKASH, Estimation-based Metaheuristics for Stochastic
Combinatorial Optimization: Case Studies in Stochastic Routing Problems,
Ph.D. Thesis, University of Bruxelles, 2010.
619. Guillermo Cabrera G., Silvana Roncagliolo D., Juan P. Riquelme, Claudio
Cubillos and Ricardo Soto, A Hybrid Particle Swarm Optimization -
Simulated Annealing Algorithm for the Probabilistic Travelling Salesman
Problem, SIC: vol. 21, issue 1/2012, pp. 49-58
620. Ulrike Ritzinger and Jakob Puchinger, Hybrid Metaheuristics for Dynamic and
Stochastic Vehicle Routing, E.-G. Talbi (Ed.): Hybrid Metaheuristics, SCI
434, pp. 77–95, Springer-Verlag Berlin Heidelberg 2013
621. Tongquan Zhang, Ying Yin, Jianping Li, Shortest path problems with left-
side time windows, Optimization Letters (2012), 6(8), 1935-1943.
622. Stacy A. Voccia, Ann M. Campbell, Barrett W. Thomas, The probabilistic
traveling salesman problem with time windows, EURO Journal of
Transportation and Logistics (2013) 2:89–107
623. Weiqi Li, Constructing a Solution Attractor for the Probabilistic Traveling
Salesman Problem through Simulation, M. Emmerich et al. (eds.), EVOLVE
- A Bridge between Probability, Set Oriented Numerics, 1 and
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Evolutionary Computation IV, Advances in Intelligent Systems and
Computing 227, DOI: 10.1007/978-3-319-01128-8_1, c_ Springer
International Publishing Switzerland 2013
624. Kevin M. Curtin, Gabriela Voicu, Matthew T. Rice, Anthony Stefanidis, A
Comparative Analysis of Traveling Salesman Solutions from Geographic
Information Systems, Transactions in GIS, 9 JUN 2013,
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Mathematics and Natural Computation, 4, 1, 107-122, 2008‖ is cited by:
625. R. Chiong, F. Neri and R. I. McKay, ―Nature that breeds solutions‖ in Nature-
Inspired Informatics for Intelligent Applications and Knowledge
Discovery: Implications in Business, Science and Engineering, R. Chiong
(Ed.), Chapter I, Hershey, PA: Information Science Reference, July 2009.
ISBN 978-1-60566-705-8.
626. Cheng-An Li, Jing Xu, and He-Yong Wang, ―Application of Particle Swarm
Optimization to Credit Risk Assessment‖, Proceedings of the 2009 IEEE
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2009, Zhuhai/Macau, China.
627. Leitao, P., Barbosa, J., Trentesaux, D, Bio-inspired multi-agent systems for
reconfigurable manufacturing systems. Engineering Applications of
Artificial Intelligence (2011), 25(5), 933-944
628. Cheng-An Li, Credit Scoring Analysis Using B-Cell Algorithm and K-Nearest
Neighbor Classifiers, Y. Tan, Y. Shi, and H. Mo (Eds.): ICSI 2013, Part II,
LNCS 7929, pp. 191–199, 2013. © Springer-Verlag Berlin Heidelberg 2013
Τhe paper ―A Comparison of Several Nearest Neighbor Classifier Metrics Using Tabu
Search Algorithm for the Feature Selection Problem‖, Optimization Letters, 2, 3, 299-
308, 2008‖ is cited by:
629. P. Yelland, R. Stratulate. Predictive analytics for bloodbuild conversion. Sun
Microsystems Laboratories Technical Report.
630. Lu Baiquan, Gao Gaiqin, Lu Zeyu, The block diagram method for designing
the particle swarm optimization algorithm, Journal of Global Optimization
(2012), 52, 4, 689-710.
631. Martin Macas, Opinion Formation Inspired Search Strategies for Feature
Selection, Ph.D. Thesis, Department of Cybernetics Faculty of Electrical
Engineering Czech Technical University in Prague
632. Pishdadian, F. ; Nelson, J.K., On the transcription of monophonic melodies in
an instance-based pitch classification scenario, 2013 IEEE Digital Signal
Processing and Signal Processing Education Meeting (DSP/SPE), 11-14
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Pap-Smear Diagnosis, International Journal on Artificial Intelligence Tools (IJAIT),
17, 2, 279 – 301, 2008‖ is cited by:
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633. J. Jantzen et al. Analysis of Pap-Smear Image Data, The Pap Smear
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13, November 29- December 1, 2006, Puerto de la Cruz, Tenerife, Spain.
634. C. Duanggate, B. Uyyanonvara, and T. Koanantakul, A Review of Image
Analysis and Pattern Classification Techniques for Automatic Pap Smear
Screening Process, The 2008 International Conference on Embedded
Systems and Intelligent Technology February 27-29, 2008, Grand Mercure
Fortune Hotel, Bangkok, Thailand.
635. Ioannis Vlahavas, Aristidis Likas and Georgios Paliouras (2008), Machine
Learning and Neural Networks, Special Edition of EETN.
636. R. Chiong, F. Neri and R. I. McKay, ―Nature that breeds solutions‖ in Nature-
Inspired Informatics for Intelligent Applications and Knowledge
Discovery: Implications in Business, Science and Engineering, R. Chiong
(Ed.), Chapter I, Hershey, PA: Information Science Reference, July 2009.
ISBN 978-1-60566-705-8.
637. Chen, L.-S., Applying swarm intelligence to a library system, Library
Collections, Acquisitions, & Technical Services (2010), 34, 1, 1-10.
638. Victor-Emil Neagoe, Catalina-Elena Neghina, and Mihai Neghina, Ant Colony
Optimization for Logistic Regression and Its Application to Wine Quality
Assessment, Mathematical Models for Engineering Science, ISBN: 978-
960-474-252-3, 195-200
639. Chen, L.S., Applying Swarm Intelligence for Campus Safety Management,
Journal of Global Business Management, 4, 2, October 2008.
640. Luz Helena Camargo Casallas, Classification of squamous cell cervical
cytology, Thesis submitted in partial fulfillment of the requirements for
the degree of: Magister en Ingeniera Biomedica, Universidad Nacional de
Colombia Departamento de Imagenes Diagnosticas Bogota D.C., Colombia
2012
641. VICTOR-EMIL NEAGOE, ADRIAN-DUMITRU CIOTEC, CATALINA-
ELENA NEGHINA, and GABRIEL-EDUARD STRUGARU, New
Computational Intelligence-Based Techniques for Training Sample
Selection/Generation to Improve Spatial-Contextual Classification of
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International Journal of Logistics: Research and Applications, 11, 1, 49-65, 2008‖ is
cited by:
642. International Logistics Abstracts, February 2008, Vol. 4, No 1, Abstracts 08/1
– 08/145, Cranfield University, School of Management
643. Rui Borges Lopes, Carlos Ferreira, Beatriz Sousa Santos, Sérgio Barreto, A
taxonomical analysis, current methods and
objectives on location-routing problems XVII International Meeting on
Locational Analysis, Elche, September 17-19, 2008
644. Seyed Reza Sajjadi, Integrated Supply Chain: Multi Products Location
Routing Problem Integrated with Inventory under Stochastic Demand, Ph.D.
Thesis, Department of Industrial and Manufacturing Engineering, Wichita
State University, 2008
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645. Rasheed Sahraeian and Ali Nadizadeh, Using Greedy Clustering Method for
Solving Capacitated Location Routing Problem, 3rd
International Conference
on Industrial Engineering and Industrial Management, 2nd
– 4th
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2009, Barcelona, Spain.
646. Herminia I. Calvete, Carmen Galé and María-José Oliveros, Bilevel model for
production-distribution planning solved by using ant colony optimization,
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647. Moacir Godinho Filho and Rogerio de Avila Ribeiro Junqueira, Chinese
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648. M. S. Jabal-Ameli, M. B. Aryanezhad and N. Ghaffari-Nasab, A variable
neighborhood descent based heuristic to solve the capacitated location-routing
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649. Aras, Necati; Aksen, Deniz; Tekin, Tugrul; Location and selective routing
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650. Rui Jorge Ferreira Soares Borges Lopes, Location-Routing Problems of Semi-
Obnoxious Facilities: Approaches and Decision Support, Ph.D. Thesis,
Departamento de Economia, Gestão e Engenharia Industrial, Universidade de
Aveiro 2011
651. Nadizadeh, A., Sahraeian, R., Zadeh, A.S., Homayouni, S.M., Using greedy
clustering method to solve capacitated location-routing problem, African
Journal of Business Management 5 (21), pp. 8470-8477, 2011
652. Niu, H., Determination of the Skip-Stop Scheduling for a Congested Transit
Line by Bilevel Genetic Algorithm, International Journal of Computational
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653. Hamidi, M., Farahmand, K., Sajjadi, S.R., Nygard, K.E. , A hybrid GRASP-
tabu search metaheuristic for a four-layer location-routing problem,
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654. Mehrjerdi, Y.Z., Nadizadeh, A., Using Greedy Clustering Method to Solve
Capacitated Location-Routing Problem with Fuzzy Demands, European
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655. Ching-Jung Ting and Yu-Ju Yang, Solving the Bi-level Programming for
Supply Chain Distribution Network with Threshold Accepting, The 2012
International Symposium on Semiconductor Manufacturing Intelligence
656. N. Ghaffari-Nasab, S. Ghazanfar Ahari, M. Ghazanfari, A hybrid simulated
annealing based heuristic for solving the location-routing problem with fuzzy
demands, Scientia Iranica Transactions E: Industrial Engineering, 2013,
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657. Xuan Qiu & George Q. Huang (2013): Storage pricing, replenishment, and
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658. Ghaffari-Nasab, N., Jabalameli, M.S., Saboury, A., Multi-objective
capacitated location-routing problem: Modelling and a simulated annealing
heuristic, International Journal of Services and Operations Management
15 (2) , pp. 140-156
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659. Jia, L., Wang, Y., Fan, L., Multiobjective bilevel optimization for production-
distribution planning problems using hybrid genetic algorithm, Integrated
Computer-Aided Engineering 21 (1) , pp. 77-90, 2014
660. Hamidi, M., Farahmand, K., Reza Sajjadi, S., Nygard, K.E., A heuristic
algorithm for a multi-product four-layer capacitated location-routing problem,
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661. Lopes, R.B., Ferreira, C., Santos, B.S., Barreto, S., A taxonomical analysis,
current methods and objectives on location-routing problems, International
Transactions in Operational Research 20 (6) , pp. 795-822, 2013
662. Zare Mehrjerdi, Y., Nadizadeh, A., Using greedy clustering method to solve
capacitated location-routing problem with fuzzy demands, European Journal
of Operational Research 229 (1) , pp. 75-84, 2013
663. Nader Ghaffari-Nasab & Mohamad Saeed Jabalameli & Mir Bahador
Aryanezhad & Ahmad Makui, Modeling and solving the bi-objective
capacitated location-routing problem with probabilistic travel times, Int J Adv
Manuf Technol (2013) 67:2007–2019 DOI 10.1007/s00170-012-4627-9
664. Xuan Qiu, George Q. Huang, and Jasmine Siu Lee Lam, A Bilevel Analytical
Model for Dynamic Storage Pricing in a Supply Hub in Industrial Park
(SHIP), IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND
ENGINEERING, (accepted)
665. Herminia I. Calvete, Carmen Galé, José A. Iranzo, Planning of a decentralized
distribution network using bilevel optimization, Omega 49 (2014) 30–41
666. Sahar Validi, Arijit Bhattacharya, P.J. Byrne, A solution method for a two-
layer sustainable supply chain distribution model, Computers and
Operations Research (2014), http://dx.doi.org/10.1016/j.cor.2014.06.015i
667. Michael Drexl, Michael Schneider, A survey of variants and extensions of the
location-routing problem, European Journal of Operational Research 000
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668. Sahar Validi, Arijit Bhattacharya, P.J. Byrne, A case analysis of a sustainable
food supply chain distribution system—A multi-objective approach, Int. J.
Production Economics 152 (2014) 71–87
669. Yang Liu, Yun Yuan, Yi Chen, Lingxiao Ruan, and Hao Pang, A Chance
Constrained Goal Programming Model for Location-Routing Problem Under
Uncertainty, R. Zhang et al. (eds.), LISS 2013: Proceedings of 3rd
International Conference on Logistics, Informatics and Service Science,
DOI 10.1007/978-3-642-40660-7_15, © Springer-Verlag Berlin Heidelberg
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670. Jia, L., Feng, X., Zou, G., Solving multiobjective bilevel transportation-
distribution planning problem by modified NSGA II, Proceedings - 9th
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Algorithms for Credit Risk Assessment, Journal of Global Optimization, 42, 279-293,
2008‖ is cited by:
671. Yorgos Goletsis, Themis Exarchos and Christos Katsis, Can Ants Predict
Bankruptcy? A Comparison of Ant Colony Systems to other state-of-the-art
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(3), 2009, 571-588.
672. Vytautas Boguslauskas and Ricardas Milleris, Estimation of Credit Risk by
Artificial Neural Networks Model, Economics of Engineering Decisions, 4,
2009, 7-14
673. Vasilis Vassiliadis and Georgios Dounias, Nature Inspired Intelligence: A
Review of Selected Methods, International Journal on Artificial Intelligence
Tools, 18(4), 487-516, 2009
674. Ricardas Milleris, Estimation of loan applicants default probability applying
discriminant analysis and simple bayesian classifier, Economics and
Management, 15, 1078-1084, 2010
675. Xiaoguang Deng, Xianyi Zeng, Philippe Vroman, Ludovic Koehl, An
intelligent multi-criteria optimization method for quick and market-oriented
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676. Zhuo, X., Dai, F., Dynamic quantitative trust assessment model between
partner-enterprises of supply chain alliances, ICLEM 2010: Logistics for
Sustained Economic Development - Infrastructure, Information,
Integration - Proceedings of the 2010 International Conference of
Logistics Engineering and Management Volume 387, 2010, p. 4585-4592
677. Abbas Keramati, Niloofar Yousefi, A Proposed Classification of Data Mining
Techniques in Credit Scoring, Proceedings of the 2011 International
Conference on Industrial Engineering and Operations Management Kuala
Lumpur, Malaysia, January 22 – 24, 2011
678. İhsan Kaya, Cengiz Kahraman and Selçuk Çebi, Computational Intelligence
Techniques for Risk Management in Decision Making, Intelligent Systems
Reference Library, 1, Volume 33, Handbook on Decision Making, Part I,
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679. Saeed Mirzamohammadi, Mostafa Mansouri, Application of Regression and
Neural Networks for Prediction of the Profit Rise on Assets Log in Tehran
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680. A I Marqués, V García and J S Sánchez, A literature review on the application
of evolutionary computing to credit scoring, Journal of the Operational
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681. Ram Babu, A.Rama Satish, Improved of K-Nearest Neighbor Techniques in
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682. Vicente Garcıa, Ana I. Marques, J. Salvador Sanchez, An insight into the
experimental design for credit risk and corporate bankruptcy prediction
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Problem, Foundations of Computing and Decisions Sciences, 32, 2, 139-152, 2007‖ is
cited by:
683. Zhong, Xing, Peng, Yi, Kou, Gang, A dynamic self-adoptive genetic algorithm
for personal credit risk assessment, 3rd International Conference on
Information Sciences and Interaction Sciences (ICIS), 2010, 711 – 716.
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International Journal, 7, 1, 27-46, 2007‖ is cited by:
684. N. Matsatsinis, Towards a decision support system for the ready concrete
distribution system: A case of a Greek company, European Journal of
Operational Research, 152, 2004, 487-499.
685. D. Naso, M. Surico, B. Turchiano and U. Kaymak, Genetic Algorithms In
Supply Chain Scheduling Of Ready mixed Concrete, Erasmus Research
Institute Of Management, Report Series Research In Management, ERS-
2004-096-LIS, October 2004
686. David Naso and Biagio Turchiano, Multicriteria Meta-Heuristics for AGV
Dispatching Control Based on Computational Intelligence, IEEE
Transactions On Systems, Man, And Cybernetics-Part B: Cybernetics,
vol. 35, no. 2, April 2005, 208-226.
687. D. Naso, M. Surico, ―A Multi-Objective Evolutionary Approach to Distributed
Supply Network Scheduling‖, Proceeding of 16th IFAC World Congress ,
Prague, Czech Republic, July 4-8, 2005
688. D. Naso, M. Surico, and B. Turchiano, Reactive Scheduling of a Distributed
Network for the Supply of Perishable Products, IEEE Transactions on
Automation Science and Engineering, vol. 4, no. 3, 407-423, July 2007.
689. D. Naso, M. Surico, and B. Turchiano, Scheduling Production and
Distribution of Rapidly Perishable Materials with Hybrid GA’s, Studies in
Computational Intelligence, 49, 465-483, 2007.
690. D. Naso, M. Surico, B. Turchiano and U. Kaymak, Genetic algorithms for
supply-chain scheduling: A case study in the distribution of ready-mixed
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691. Jirí Vokrínek, Antonín Komenda and Michal Pechoucek, Agents Towards
Vehicle Routing Problems, Proc. of 9th Int. Conf. on Autonomous Agents
and Multiagent Systems (AAMAS 2010), van der Hoek, Kaminka,
Lespérance, Luck and Sen (eds.), May, 10–14, 2010, Toronto, Canada, pp.
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692. Joseph Gallart Suarez, Manuel Tupia Anticona, Two GRASP Metaheuristic for
the Capacitated Vehicle Routing Problem Considering Split Delivery and
Solving the Three Dimensional Bin Packing Problem, Advances in
Information Sciences and Service Sciences Volume 2, Number 2, June 2010
693. Peter Matis · Michal Koháni, Very large street routing problem with mixed
transportation mode, Central European Journal of Operations Research,
(2011), 19, 3, 359-369.
694. Joseph Gallart Suarez, Manuel Tupia Anticona, Solving the Capacitated
Vehicle Routing Problem and the Split Delivery Using GRASP Metaheuristic,
M. Bramer (Ed.): IFIP AI 2010, IFIP AICT 331, pp. 243–249, 2010. © IFIP
International Federation for Information Processing 2010
695. Juan R. Jaramillo, Albany State University, The Single Green Vehicle Routing
Problem, The 2010 Southeastern INFORMS Conference, Thursday,
October 7, to Friday, October 8, 2010, South Carolina, USA.
696. Sara Ceschia, Luca Di Gaspero, Andrea Schaerf, Tabu search techniques for
the heterogeneous vehicle routing problem with time windows and carrier-
dependent costs, Journal of Scheduling, 2011, 14, 6, 601-615.
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697. Abel Garcia Najera, Multi-Objective Evolutionary Algorithms for Vehicle
Routing Problems, Ph.D. Thesis, School of Computer Science College of
Engineering and Physical Sciences, The University of Birmingham, UK,
November 2010
698. Sahbi Ben Ismail, François Legras, Gilles Coppin, Synthèse du problème de
routage de véhicules, Collection des rapports de recherché de Télécom
Bretagne, RR-2011-03-LUSSI, 2011.
699. Philip Kilby, Andrew Verden, Flexible routing combing Constraint
Programming, Large Neighbourhood Search, and Feature-based Insertion,
Artificial Intelligence and Logistics (AILog) Workshop at IJCAI’11,
Barcelona, Spain, 2011.
700. Rita Alexandra Santos Gonçalves de Macedo, , Models and Algorithms for
Hard Optimization Problems, Ph.D. Thesis, Universidade do Minho Escola de
Engenharia, January 2011, Portugal
701. Sara Ceschia, Local Search Algorithms for Integrated Logistics, Ph.D. Thesis,
Dipartimento di Ingegneria Elettrica, Gestionale e Meccanica, Universita degli
Studi di Udine, February 28, 2012
702. Ertan Yakıcı · Orhan Karasakal, A min–max vehicle routing problem with
split delivery and heterogeneous demand, Optimization Letters, DOI
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703. Andres Pico, and Yong Hui Ronny Tan, Heuristics for Solving Problem of
Evacuating Non-Ambulatory People in a Short-Notice Disaster, MBA
Professional Report, Naval Postgraduate School Monterey, CA 93943-5000,
December 2012
704. Lin, C., Choy, K.L., Ho, G.T.S., Chung, S.H., Lam, H.Y., Survey of Green
Vehicle Routing Problem: Past and future trends, Expert Systems with
Applications 41 (4 PART 1) , pp. 1118-1138, 2014
705. Jeffrey A. McDougall, Luis Daniel Otero, Juan Avendano, and Abdel Ejnioui, System Analysis Methods in Emergency Systems Vehicle Routing
Problem, 2013 IEEE International Systems Conference (SysCon), 15-18
April 2013, pp. 8-18, DOI: 10.1109/SysCon.2013.6549978
706. E.K. Burke and G. Kendall (eds.), Search Methodologies: Introductory
Tutorials in Optimization and Decision Support Techniques, DOI
10.1007/978-1-4614-6940-7_1, © Springer Science+Business Media New
York 2014
707. S.P. Anbuudayasankar et al., Models for Practical Routing Problems in
Logistics: Design and Practices, DOI 10.1007/978-3-319-05035-5_2, ©
Springer International Publishing Switzerland 2014
The paper ―A New Bilevel Formulation for the Vehicle Routing Problem and a
Solution Method Using a Genetic Algorithm, Journal of Global Optimization, 38,
555-580, 2007‖ is cited by:
708. Irene Okhrin and Knut Richter, The Vehicle Routing Problem with Real Time
Travel Times, Technical Report (TP2-2007-WP8), European University
Viadrina, Germany, 2007.
709. Irene Okhrin and Knut Richter, The Real – Time Vehicle Routing Problem,
Operations Research Proceedings, 141-146, 2008, DOI: 10.1007/978-3-540-
77903-2, Springer Berlin Heidelberg.
Curriculum Vitae – Dr. Yannis Marinakis 84
710. Christian Agerbeck and Mikael Hansen, A Multi-Agent Approach for Solving
NP-Complete Problems, MSc Thesis, Technical University of Denmark,
Informatics and Mathematical Modeling, 2008
711. Irene Okhrin and Knut Richter, The Vehicle Routing Problem with Real Time
Travel Times, Techniques and Applications for Mobile Commerce, C. Branki
et al. (Eds), Frontiers in Artificial Intelligence and Applications, Vol. 169,
32-45.
712. Ping Ji, Hongtao Wu, Yongzhong Wu, Quadratic Programming for the
Vehicle Routing Problem, The 7th International Symposium on Operations
Research and Its Applications (ISORA’08) Lijiang, China, October 31–
Novemver 3, 2008, Copyright © 2008 ORSC & APORC, pp. 82–90
713. Irene Okhrin and Knut Richter, Vehicle Routing Problem with Real-time
Travel Times, International Journal of Vehicle Information and
Communication Systems, Vol. 2, Number 1-2, 59-77, 2009.
714. Matthias Koppe, Maurice Queyranne, and Christopher Thomas Ryan, A
Parametric Integer Programming Algorithm For Bilevel Mixed Integer
Programs, Optimization and Control, arxiv 0907.1298, 2009.
715. Armin Lüer, Magdalena Benavente, Jaime Bustos and Bárbara Venegas, El
problema de rutas de vehículos: Extensiones y métodos de resolución, estado
del arte, WORKSHOP INTERNACIONAL EIG2009, Departamento de
Ingeniería de Sistemas Universidad de La Frontera – Chile, Diciembre 3 y 4,
2009
716. Liu Fanghua Zhao Jianmin Xu Huiying , Research on Optimizing Physical
Distribution Routing Based on Mergers & Acquisitions Algorithm,
COMPUTER AND DIGITAL ENGINEERING, 2009, 37, 8.
717. Matthias Koppe, Maurice Queyranne, and Christopher Thomas Ryan,
Parametric Integer Programming Algorithm For Bilevel Mixed Integer
Programs, Journal of Optimization Theory and Applications, 2010, 146, 1,
137-150.
718. Yong Mao, Yanfang Deng, Solving Vehicle Routing Problem with Time
Windows with Hybrid Evolutionary Algorithm, 2010 Second WRI Global
Congress on Intelligent Systems, 978-0-7695-4304-8/10, IEEE, DOI
10.1109/GCIS.2010.171, 335-339
719. Vassilios Vassiliadis and Giorgos Dounias, Nature-Inspired Intelligence in
Supply Chain Management: A Review of Selected Methods and Applications,
in Supply Chain Optimization, Design, and Management: Advances and
Intelligent Methods, Editors: Ioannis Minis, Vasileios Zeimpekis, Georgios
Dounias, Nicholas Ampazis, 2011, 1-31, IGI Global, DOI:
10.4018/9781615206339.ch001
720. Berit Johannes, New Classes of Complete Problems for the Second Level of
the Polynomial Hierarchy, Ph.D. Thesis, Von der Fakult¨at II – Mathematik
und Naturwissenschaften der Technischen Universit¨at Berlin zur Erlangung
des akademischen Grades, 2011
721. J Pacheco, A Alvarez, I Garcıa and F Angel-Bello, Optimizing vehicle routes
in a bakery company allowing flexibility in delivery dates, Journal of the
Operational Research Society (2012), 63, 5, 569-581.
722. Bortfeldt A. A hybrid algorithm for the capacitated vehicle routing problem
with three-dimensional loading constraints. Computers and Operations
Research (2012), 39, 9, 2248-2257.
Curriculum Vitae – Dr. Yannis Marinakis 85
723. GAO Gui-bing, ZHANG Guo-jun, HUANG Gang, ZHU Hai-ping, GU Pei-
hua, Solving material distribution routing problem in mixed manufacturing
systems with a hybrid multi-objective evolutionary algorithm, J. Cent. South
Univ. (2012) 19: 433−442, DOI: 10.1007/s11771−012−1022−5, Springer
724. Zou, G., Jia, L., Zou, J. , Random-weight based genetic algorithm for
multiobjective bilevel mixed linear integer programming, Proceedings -
International Conference on Natural Computation, art. no. 6234677 , pp.
693-697, 2012
725. Andreas Bortfeldt and Jorg Homberger, Packing First, Routing Second – a
Heuristic for the Vehicle Routing and Loading Problem, Computers &
Operations Research, 40 (3) , pp. 873-885
726. Knut Richter and Irena Okhrin, Progress in Solving Vehicle Routing
Problems, DR-LOG 08, 21 – 25 May 2008, Moskau
727. Vidal, T., Crainic, T.G., Gendreau, M., Prins, C., Heuristics for multi-attribute
vehicle routing problems: A survey and synthesis, European Journal of
Operational Research (2013), 231, 1-21
728. Thibaut VIDAL, Approches generales de resolution pour les problems multi-
attributs de tournees de vehicules et confection d'horaires, Universite de
Montreal & Universite de Technologie de Troyes, These presentee en vue de
l'obtention du grade de Philosophi Doctor (Ph.D.) en Informatique, 2013
729. Georgios K.D. Saharidis, Antonio J. Conejo, and George Kozanidis, Exact
Solution Methodologies for Linear and (Mixed) Integer Bilevel Programming,
E.-G. Talbi (Ed.): Metaheuristics for Bi-level Optimization, SCI 482, pp.
221–245. DOI: 10.1007/978-3-642-37838-6_8, © Springer-Verlag Berlin
Heidelberg 2013
730. Pacheco, J., Caballero, R., Laguna, M., Molina, J., Bi-objective bus routing:
An application to school buses in rural areas, Transportation Science 47 (3) ,
pp. 397-411, 2013
731. Ozsoydan, F.B., Sipahioglu, A., Heuristic solution approaches for the
cumulative capacitated vehicle routing problem, Optimization 62 (10) , pp.
1321-1340, 2013
732. Jose Ruben Gomez, Joaquın Pacheco, Hernan Gonzalo-Orden, A Tabu Search
Method for a Bi-Objective Urban Waste Collection Problem, Computer-
Aided Civil and Infrastructure Engineering (2013), 1-18.
733. Joaquin Pacheco, Irma Garcνa, Ada Αlvarez, Enhancing variable
neighborhood search by adding memory: Application to a real logistic
problem, Knowledge-Based Systems 62 (2014) 28–37
734. S.P. Anbuudayasankar et al., Models for Practical Routing Problems in
Logistics: Design and Practices, DOI 10.1007/978-3-319-05035-5_2, ©
Springer International Publishing Switzerland 2014
735. Qi, C., Li, P., An exponential entropy-based hybrid ant colony algorithm for
vehicle routing optimization, Applied Mathematics and Information
Sciences, 8 (6), pp. 3167-3173, 2014
The paper ―A Hybrid Genetic - GRASP Algorithm Using Lagrangean Relaxation for
the Traveling Salesman Problem, Journal of Combinatorial Optimization, 10, 311-
326, 2005‖ is cited by:
Curriculum Vitae – Dr. Yannis Marinakis 86
736. G. Voicu, A Comparative Analysis of Traveling Salesman Heuristic -
Implementations in GIS, GIS Masters Project, University of Texas, Dallas,
2006
737. Aybars Ugur, Path Planning On A Cuboid Using Genetic Algorithms,
Information Sciences, 178, 16, 3275-3287, 2008.
738. Peter Merz and Jutta Huhse, An Iterated Local Search Approach for Finding
Provably Good Solutions for Very Large TSP Instances, G. Rudolph et al.
(Eds.): PPSN X, LNCS 5199, pp. 929–939, 2008, Springer-Verlag Berlin
Heidelberg.
739. Barış Özkan, Utku Cevre, Aybars Uğur, Melez Bir Eniyileme Yöntemi İle Rota
Planlama, Akademik Bilişim 2008 30 October - 1 November 2008 Çanakkale
Onsekiz Mart Üniversitesi, Çanakkale (Dardanelia), Turkey
740. Aybars Uğur, Serdar Korukoğlu, Ali Ηalıskan, Muhammed Cinsdikici, Ali
Alp, Genetic Algorithm Based Solution For Tsp On A Sphere, Mathematical
and Computational Applications, Vol. 14, No. 3, pp. 219-228, 2009.
741. Jinhong Zhong, Ling Huang, "Application Progress of Genetic Algorithm for
Economic Lot Sizing Problem," pp.2858-2861, 2009 First IEEE
International Conference on Information Science and Engineering, 2009
742. Reza Zamani and Sim Kim Lau, Embedding learning capability in
Lagrangean relaxation: An application to the travelling salesman problem,
European Journal of Operational Research, 2010, 201, 82-88.
743. Alfonsas Misevičius, Andrius Blaţinskas, Jonas Blonskis, Vytautas
Bukšnaitis, ON THE GENETIC ALGORITHMS FOR THE TRAVELING
SALESMAN PROBLEM: NEGATIVE AND POSITIVE ASPECTS,
INFORMACIJOS MOKSLAI. 2009, 50, 173-180.
744. Victoria Horan and Michael Gudaitis, INVESTIGATION OF ZERO
KNOWLEDGE PROOF APPROACHES BASED ON GRAPH THEORY,
AFRL-RI-RS-TR-2011-041, FEBRUARY 2011, FINAL TECHNICAL
REPORT, Air Force Research Laboratory/RIGD, NY, USA
745. Melo Freire, Lívio Antônio, Heurística e Limites Duais para o Problema de
Dimensionamento de Lotes e Sequenciamento com Tempos de Preparação
Dependentes da Sequência, Belo Horizonte, 2011, MSc Thesis, Universidade
Federal de Minas Gerais, May 2011
746. Jian Sun, Yuting Wang, Junqing Li, Kaizhou Gao, Hybrid Algorithm Based
on Chemical Reaction Optimization and Lin-Kernighan Local Search for the
Traveling Salesman Problem, 2011 Seventh International Conference on
Natural Computation, 978-1-4244-9953-3/11/$26.00 ©2011 IEEE, 1518-
1521.
747. Peter Merz, Memetic Algorithms and Fitness Landscapes in Combinatorial
Optimization F. Neri et al. (Eds.): Handbook of Memetic Algorithms,
Studies in Computational Intelligence 379, pp. 95–119, Springer-Verlag Berlin
Heidelberg 2012
748. S.H. Nasseri, M.H. Khaviari, Solving TSP by Considering Processing Time:
Meta-Heuristics and Fuzzy Approaches, Fuzzy Information and
Engineering (2011) 4: 359-378, DOI 10.1007/s12543-011-0091-8, Springer
749. Wang Chun-gang and Zhao Hui, Vehicle Control and Dispatching Model
Based on MAS, Proceedings of the 2011, International Conference on
Informatics, Cybernetics, and Computer Engineering (ICCE2011) November
19–20, 2011, Melbourne, Australia, Advances in Intelligent and Soft
Curriculum Vitae – Dr. Yannis Marinakis 87
Computing, 2012, Volume 111/2012, 497-503, DOI: 10.1007/978-3-642-
25188-7_62
750. GAO Gui-bing, ZHANG Guo-jun, HUANG Gang, ZHU Hai-ping, GU Pei-
hua, Solving material distribution routing problem in mixed manufacturing
systems with a hybrid multi-objective evolutionary algorithm, J. Cent. South
Univ. (2012) 19: 433−442, DOI: 10.1007/s11771−012−1022−5, Springer
751. Liu, C., Li, L., Huang, Y. , Optimization research on distribution of emergency
supplies and minimize save points based on grey correlation analysis,
Advances in Information Sciences and Service Sciences 4 (15) , pp. 50-56,
2012
752. Sauerland Volkmar, Algorithm Engineering for some Complex Practise
Problem: Exact Algorithms, Heuristics and Hybrid Evolutionary Algorithms,
Kiel, Christian-Albrechts-Universität, Diss., 2012
753. R.SIVARAJ, T.RAVICHANDRAN, R.DEVI PRIYA, Solving Travelling
Salesman Problem using Clustering Genetic Algorithm International Journal
on Computer Science and Engineering (IJCSE), Vol. 4 No. 07 July 2012,
1310-1317
754. Kevin M. Curtin, Gabriela Voicu, Matthew T. Rice, Anthony Stefanidis, A
Comparative Analysis of Traveling Salesman Solutions from Geographic
Information Systems, Transactions in GIS, 18(2), 286-301,
DOI: 10.1111/tgis.12045, © 2014 John Wiley & Sons Ltd
The paper ―Expanding Neighborhood GRASP for the Traveling Salesman Problem,
Computational Optimization and Applications, 32, 231-257, 2005‖ is cited by:
755. M.G.C. Resende and P. Festa, An Updated Bibliography of GRASP available
online http://www.optimization-online.org/DBFILE /2003/10/758.pdf
756. M.G.C. Resende and P. Festa, An Annotated Bibliography of GRASP,
Technical Report TD-5WYSEW, AT&T Labs Research, Florham Park, NJ
07932, February 2004, submitted in European Journal of Operational
Research and available online in http://www.optimization-
online.org/DBFILE /2004/03/834.pdf
757. Elizabeth Gouvea Golbarg, Marco Goldbarg and Joa Farias, GRASP with Path
Relinking for the TSP, Metaheuristics, Progress in Complex Systems
Optimization, Vol. 39, 2007, 137-152, Springer US.
758. Paolo Brandimarte and Giulio Zotteri, Introduction to Distribution
Logistics, John Wiley and Sons, 2007
759. Ya-yah Zheng and Weng –xin Zhou, An improved GRASP for Traveling
Salesman Problem, Computers Engineering and Science, Vol. 30, No 11,
2008
760. Aybars Uğur, Serdar Korukoğlu, Ali Ηalıskan, Muhammed Cinsdikici, Ali
Alp, Genetic Algorithm Based Solution For Tsp On A Sphere, Mathematical
and Computational Applications, Vol. 14, No. 3, pp. 219-228, 2009.
761. Waldemar Pereira Mathias Neto and José Roberto Sanches Mantovani,
Restauração De Redes De Distribuição De Grande Porte Através De
Algoritmo GRASP Dedicado, 41 Symposio Brazileiro de Pesquisa
Operacional, Porto Seguro 1-4 September 2009, Brazil
762. Armin Lüer, Magdalena Benavente, Jaime Bustos and Bárbara Venegas, El
problema de rutas de vehículos: Extensiones y métodos de resolución, estado
del arte, WORKSHOP INTERNACIONAL EIG2009, Departamento de
Curriculum Vitae – Dr. Yannis Marinakis 88
Ingeniería de Sistemas Universidad de La Frontera – Chile, Diciembre 3 y 4,
2009
763. J. Joshua Thomas and Choy Chee Ken, Process visualization to solve the
travelling salesman problem, Proceedings of the 3rd International Symposium
on Visual Information Communication, 2010, ISBN: 978-1-4503-0436-8
doi:10.1145/1865841.1865858
764. Yong Mao, Yanfang Deng, Solving Vehicle Routing Problem with Time
Windows with Hybrid Evolutionary Algorithm, 2010 Second WRI Global
Congress on Intelligent Systems, 978-0-7695-4304-8/10, IEEE, DOI
10.1109/GCIS.2010.171, 335-339
765. Thomas, J.J., Choy Chee Ken, Leow, A., An interactive approach to solve the
Travelling Salesman Problem. 5th International Conference on Computer
Sciences and Convergence Information Technology (ICCIT), 2010 DOI:
10.1109/ICCIT.2010.5711146 Publication Year: 2010 , Page(s): 710 – 715
766. Melo Freire, Lívio Antônio, Heurística e Limites Duais para o Problema de
Dimensionamento de Lotes e Sequenciamento com Tempos de Preparação
Dependentes da Sequência, Belo Horizonte, 2011, MSc Thesis, Universidade
Federal de Minas Gerais, May 2011
767. Jian Sun, Yuting Wang, Junqing Li, Kaizhou Gao, Hybrid Algorithm Based
on Chemical Reaction Optimization and Lin-Kernighan Local Search for the
Traveling Salesman Problem, 2011 Seventh International Conference on
Natural Computation, 978-1-4244-9953-3/11/$26.00 ©2011 IEEE, 1518-
1521.
768. Saeed Shahrivari, Mohsen Sharifi, Task-Oriented Programming: A Suitable
Programming Model for Multicore and Distributed Systems, 10th
International Symposium on Parallel and Distributed Computing, Cluj
Napoca, Cluj Romania, 06-08 July 2011, ISBN: 978-0-7695-4540-0
769. Wang Chun-gang and Zhao Hui, Vehicle Control and Dispatching Model
Based on MAS, Proceedings of the 2011, International Conference on
Informatics, Cybernetics, and Computer Engineering (ICCE2011) November
19–20, 2011, Melbourne, Australia, Advances in Intelligent and Soft
Computing, 2012, Volume 111/2012, 497-503, DOI: 10.1007/978-3-642-
25188-7_62
770. GAO Gui-bing, ZHANG Guo-jun, HUANG Gang, ZHU Hai-ping, GU Pei-
hua, Solving material distribution routing problem in mixed manufacturing
systems with a hybrid multi-objective evolutionary algorithm, J. Cent. South
Univ. (2012) 19: 433−442, DOI: 10.1007/s11771−012−1022−5, Springer
771. Ritzinger, U., Puchinger, J. , Hybrid metaheuristics for dynamic and stochastic
vehicle routing, Studies in Computational Intelligence 434 , pp. 77-95, 2013
772. Bahriye Akay, Emre Aydogan, Levent Karacan, 2-opt based artificial bee
colony algorithm for solving traveling salesman problem, 2nd
World
Conference on Information Technology (WCIT-2011), 1 (2012), 666-672.
773. Faisal Amri, Erna Budhiarti Nababan, Mohammad Fadly Syahputra, Artificial
Bee Colony Algorithm untuk Menyelesaikan Travelling Salesman Problem,
JURNAL DUNIA TEKNOLOGI INFORMASI Vol. 1, No. 1, (2012) 8-13
774. M. Rajabi Bahaabadi, A. Shariat Mohaymany, and M. Babaei, AN
EFFICIENT CROSSOVER OPERATOR FOR TRAVELING SALESMAN
PROBLEM, International Journal of Optimization in Civil Engineering,
2012, 2(4), 607-619
Curriculum Vitae – Dr. Yannis Marinakis 89
775. Everton Santi, Uma Abordagem Hybrida Para O Problema De Selecao de
Fornecedores em Cadeias de Suprimentos, Mestre em Engenharia de
Producao, Universidado Federal do Rio Grande do Norte, Rio de Janeiro,
Brazil, 2012
776. Baddi, Y., El Kettani E.-C., Dafi M., Parallel GRASP algorithm with delay
and delay variation for Rendezvous Point selection in PIM-SM multicast
routing, Journal of Theoretical and Applied Information Technology 57
(2) , pp. 235-243, 2013
777. Dowlatshahi, M.B., Nezamabadi-Pour, H., Mashinchi, M., A discrete
gravitational search algorithm for solving combinatorial optimization
problems, Information Sciences 258 , pp. 94-107, 2014
778. Baddi, Y., El Kettani E.-C., Dafi M., Parallel GRASP algorithm with delay
and delay variation for Rendezvous Point selection in PIM-SM multicast
routing, 2013 Eighth International Conference on Broadband and
Wireless Computing, Communication and Applications (BWCCA), 28-30
Oct. 2013, 481 – 487, Compiegne, France, DOI: 10.1109/BWCCA.2013.84
779. Baddi, Y., El Kettani E.-C., Dafi M., Parallel GRASP algorithm with delay
and delay variation for core selection in shared tree based multicast routing
protocols, 2013 Third International Conference on Innovative Computing
Technology (INTECH), 29-31 Aug. 2013, London, DOI:
10.1109/INTECH.2013.6653696
780. Baddi, Y., El Kettani, M.D.E.-C., Qos-based parallel GRASP algorithm for
RP selection in PIM-SM multicast routing and mobile IPV6, International
Review on Computers and Software, 9 (7), pp. 1271-1281, 2014
781. Dowlatshahi, M.B., Nezamabadi-Pour, H., Mashinchi, M., A discrete
gravitational search algorithm for solving combinatorial optimization
problems, Information Sciences, 258, pp. 94-107, 2014
The paper ―A Hybridized Particle Swarm Optimization with Expanding
Neighborhood Topology for the Feature Selection Problem‖, M.J. Blesa et al. (Eds.):
HM 2013, LNCS 7919, pp. 37–51, ©Springer-Verlag Berlin Heidelberg 2013‖ is cited
by:
782. Lim, W.H., Mat Isa, N.A., Particle swarm optimization with increasing
topology connectivity. Engineering Applications Artifficial Intelligence
(2014), 27, 80-102
783. Lim, W.H., Mat Isa, N.A., An adaptive two-layer particle swarm optimization
with elitist learning strategy, Information Sciences 273 (2014) 49–72
784. Lim, W.H., Mat Isa, N.A., Bidirectional teaching and peer-learning particle
swarm Optimization, Information Sciences 280 (2014) 111–134
785. Yong Zhang, Changhong Xia, Dunwei Gong, and Xiaoyan Sun, Multi-
objective PSO Algorithm for Feature Selection Problems with Unreliable
Data, Y. Tan et al. (Eds.): ICSI 2014, Part I, LNCS 8794, pp. 386–393, 2014.
The paper ―Bumble Bees Mating Optimization Algorithm for the Vehicle Routing
Problem‖, Handbook of Swarm Intelligence – Concepts, Principles and Applications,
Editors Bijaya Ketan Panigrahi, Yuhui Shi and Meng-Hiot Lim, Series on Adaptation,
Learning, and Optimization 8, Springer – Verlang, Berlin, 347-369, 2011‖ is cited by:
Curriculum Vitae – Dr. Yannis Marinakis 90
786. Vidal, T., Crainic, T.G., Gendreau, M., Prins, C., Heuristics for multi-attribute
vehicle routing problems: A survey and synthesis, European Journal of
Operational Research (2013), 231, 1-21.
787. Thibaut VIDAL, Approches generales de resolution pour les problems multi-
attributs de tournees de vehicules et confection d'horaires, Universite de
Montreal & Universite de Technologie de Troyes, These presentee en vue de
l'obtention du grade de Philosophi Doctor (Ph.D.) en Informatique, 2013
788. Sabar, N.R., Ayob, M., Kendall, G., Qu, R., Grammatical evolution hyper-
heuristic for combinatorial optimization problems, IEEE Transactions on
Evolutionary Computation 17 (6) , art. no. 6595625 , pp. 840-861, 2013
The paper ―A Bumble bees mating optimization algorithm for global unconstrained
optimization problems, Nature Inspired Cooperative Strategies for Optimization -
NICSO 2010, Studies in Computational Intelligence, 284, J.R. Gonzalez et al. (Eds.),
Springer-Verlag Berlin, 305-318‖ is cited by:
789. Konrad Diwold, Andrej Aderhold, Alexander Scheidler, Martin Middendorf,
Performance evaluation of artificial bee colony optimization and new selection
schemes, Memetic Computing, (2011), 3, 3, 149-162.
790. Celik, Y., Ulker, E. , An improved marriage in honey bees optimization
algorithm for single objective unconstrained optimization, The Scientific
World Journal 2013 , art. no. 370172, 2013
The paper ―A Hybrid Bumble Bees Mating Optimization – GRASP Algorithm for
Clustering‖, HAIS 2009, Lecture Notes in Artificial Intelligence (LNΑΙ) 5572, E.
Corchado et al. (Eds.), Springer Verlag Berlin Heidelberg, 549-556, 2009‖ is cited
by:
791. Mohamed Jafar Abul Hasan, Sivakumar Ramakrishnan, A survey: hybrid
evolutionary algorithms for cluster analysis, Artificial Intelligence Reviews,
(2011), 36, 3, 179-204.
792. Thieme, Frank, Entwurf eines Hummel inspirierten Algorithmus zur
Maschinenbelegungsplanung, Universität Leipzig Fakultät für Mathematik
und Informatik Institut für Informatik, MSc Thesis, September 2010
793. Ahmed A. A. Esmin, Rodrigo A. Coelho, Stan Matwin, A review on particle
swarm optimization algorithm and its variants to clustering high-dimensional
data, Artificial Intelligence Review DOI 10.1007/s10462-013-9400-4, 2013
The paper ―Metaheuristic Algorithms for the Vehicle Routing Problem, Encyclopedia
of Optimization, 2nd
Edition, DOI: 10.1007/978-0-387-74759-0_366, 2055 – 2061,
Springer, 2009‖ is cited by:
794. Stanley Murairwa, Engku Muhammad Nazri, How to Measure Heuristic
Performance Consistency, European Journal of Scientific Research ISSN
1450-216X Vol.46 No.3 (2010), pp.363-377, © EuroJournals Publishing, Inc.
2010
The paper ―Heuristic and metaheuristic algorithms for the traveling salesman
problem, Encyclopedia of Optimization, 2nd
Edition, DOI: 10.1007/978-0-387-74759-
0_262, 1499 – 1506, Springer, 2009‖ is cited by:
Curriculum Vitae – Dr. Yannis Marinakis 91
795. Jungyun Bae and Sivakumar Rathinam, Approximation algorithms for
multiple terminal, Hamiltonian path problems, Optimization Letters, (2012),
6, 1, 69-85.
796. Sai Yadlapalli, Sivakumar Rathinam and Swaroop Darbha, 3-Approximation
algorithm for a two depot, heterogeneous traveling salesman problem,
Optimization Letters, (2012), 6, 1, 141-152.
The paper ―Location Routing Problem‖, Encyclopedia of Optimization, 2nd
Edition,
DOI: 10.1007/978-0-387-74759-0_345, 1919 – 1925, Springer‖ is cited by:
797. Liao Xin-Lan; Ting, Chuan-Kang; An evolutionary approach for the selective
pickup and delivery problem, 2010 IEEE Congress on Evolutionary
Computation (CEC), Digital Object Identifier: 10.1109/CEC.2010.5586360
Publication Year: 2010, Page(s): 1 - 8
798. Liao Xin-Lan; Ting, Chuan-Kang; Evolutionary algorithms using adaptive
mutation for the selective pickup and delivery problem 2012 IEEE Congress
on Evolutionary Computation (CEC), Publication Year: 2012, Page(s): 1 - 8
The paper ―A Hybrid Clustering Algorithm based on Multi-Swarm Constriction PSO
and GRASP, DaWaK 2008, Lecture Notes in Computer Science (LNCS) 5182, I.Y.
Song, J. Eder, and T.M. Nguyen (Eds.), Springer-Verlag Berlin Heidelberg, 186-195,
2008‖ is cited by:
799. Mohamed Jafar Abul Hasan, Sivakumar Ramakrishnan, A survey: hybrid
evolutionary algorithms for cluster analysis, Artificial Intelligence Reviews,
(2011), 36, 3, 179-204.
800. Ahmed A. A. Esmin, Rodrigo A. Coelho, Stan Matwin, A review on particle
swarm optimization algorithm and its variants to clustering high-dimensional
data, Artificial Intelligence Review DOI 10.1007/s10462-013-9400-4, 2013
The paper ―A Hybrid Clustering Algorithm based on Honey Bees Mating
Optimization and Greedy Randomized Adaptive Search Procedure, Learning and
Intelligence Optimization - LION 2, Lecture Notes in Computer Science (LNCS) 5313,
V. Maniezzo, R. Battiti and J.P. Watson, Springer-Verlag Berlin Heidelberg, 138-152,
2008‖ is cited by:
801. Dervis Karaboga and Bahriye Akay, A survey: algorithms simulating bee
swarm intelligence, Artificial Intelligence Review, 2009, 31, 1-4, 61-85.
802. Cristina Bianca Pop, Viorica Rozina Chifu, Ioan Salomie, Mihaela
Dinsoreanu, Tudor David, and Vlad Acretoaie, Semantic Web Service
Clustering for Efficient Discovery Using an Ant-Based Method, M. Essaaidi et
al. (Eds.): Intelligent Distributed Computing IV, SCI 315, pp. 23–33,
Springer-Verlag Berlin Heidelberg 2010
803. Konrad Diwold, Madeleine Beekman, and Martin Middendorf, Honeybee
Optimisation – An Overview and a New Bee Inspired Optimisation Scheme,
Handbook of Swarm Intelligence – Concepts, Principles and Applications,
Series on Adaptation, Learning, and Optimization, Springer, 2011, 295-327.
Curriculum Vitae – Dr. Yannis Marinakis 92
804. Thieme, Frank, Entwurf eines Hummel inspirierten Algorithmus zur
Maschinenbelegungsplanung, Universität Leipzig Fakultät für Mathematik
und Informatik Institut für Informatik, MSc Thesis, September 2010
805. Pop, C.B., Chifu, V.R., Salomie, I., Dinsoreanu, M., David, T., Acretoaie, V.,
Nagy, A., Oprisa, C., Biologically-inspired clustering of semantic Web
services. Birds or ants intelligence?, Concurrency Computation Practice
and Experience 24 (6) , pp. 619-633
806. Chun-Wei Tsai, Wei-Cheng Huang and Ming-Chao Chiang, Recent
Development of Metaheuristics for Clustering, James J. (Jong Hyuk) Park et
al. (eds.), Mobile, Ubiquitous, and Intelligent Computing Lecture Notes in
Electrical Engineering 274, 629 -636, DOI: 10.1007/978-3-642-40675-1_93,
© Springer-Verlag Berlin Heidelberg 2014,
807. Krause, J., Cordeiro, J., Parpinelli, R.S., Lopes, H.S.A., A Survey of Swarm
Algorithms Applied to Discrete Optimization Problems, Swarm Intelligence
and Bio-Inspired Computation, 2013
The paper ―Honey Bees Mating Optimization Algorithm for the Vehicle Routing
Problem, Nature Inspired Cooperative Strategies for Optimization - NICSO 2007,
Studies in Computational Intelligence, N. Krasnogor, G. Nicosia, M. Pavone, D. Pelta
(Eds.), Springer-Verlag Berlin, Vol. 129, 139-148, 2008‖ is cited by:
808. Amalia Guaymas Canavire and Margarita Ruiz, Un algoritmo HBMO para el
Problema de P-Mediana Capacitada, Reunion Annual de la Union
Matematica, Universidad National del Mar Der Plata, 21-26 September 2009,
Argentina.
809. Belén Melián-Batista, J. Marcos Moreno-Vega, Nitesh Vaswani and
Rayco Yumar, A Nature Inspired Approach for the Uncapacitated Plant Cycle
Location Problem, Studies in Computational Intelligence, Nature Inspired
Cooperative Strategies for Optimization (NICSO 2008), 2009, Vol. 236,
pp. 49-60.
810. Dervis Karaboga and Bahriye Akay, A survey: algorithms simulating bee
swarm intelligence, Artificial Intelligence Review, 2009, 31, 1-4, 61-85.
811. Adriane Beatriz de Souza Serapião, Fundamentos De Otimização Por
Inteligência De Enxames: Uma Visão Geral, Revista Controle &
Automação/Vol.20 no.3/Julho, Agosto e Setembro 2009, 271 – 304
812. Amalia Guaymas Canavire and Margarita Ruiz, Un algoritmo HBMO para el
Problema de P-Mediana Capacitada, Noticiero de la Union Matematica
Argentina, Vol 46, Junio 2010.
813. Bernardino, Eugenia M.; Bernardino, Anabela M.; Sanchez-Perez, Juan
Manuel; Gomez-Pulido, Juan Antonio; Vega-Rodriguez, Miguel Angel;
Hybrid Honey Bees Mating Optimisation algorithm to assign terminals to
concentrators 3rd International Symposium on Applied Sciences in
Biomedical and Communication Technologies (ISABEL), DOI:
10.1109/ISABEL.2010.5702845, 2010 , 1 - 7
814. Vassilios Vassiliadis and Giorgos Dounias, Nature-Inspired Intelligence in
Supply Chain Management: A Review of Selected Methods and Applications,
in Supply Chain Optimization, Design, and Management: Advances and
Intelligent Methods, Editors: Ioannis Minis, Vasileios Zeimpekis, Georgios
Dounias, Nicholas Ampazis, 2011, 1-31, IGI Global, DOI:
10.4018/9781615206339.ch001
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815. Marcos Mansano Furlan, Metodos Heuristicos para o problema de
dimensionamento de lotes multiestagio com limitacao de capacidade, MSc
Thesis, Instituto de Ciencias Matematica e de Computacao, ICMC-USP,
Sao Paolo, Brazil, 2011
816. Qingfang Ruan, Zhengqian Zhang, Lixin Miao, Haitao Shen, A hybrid
approach for the vehicle routing problem with three-dimensional loading
constraints. Computers and Operations Research (2011),
doi:10.1016/j.cor.2011.11.013
817. Vahid Azadehgan, M. R. Meybodi, Nafiseh Jafarian and Farshad Jafarieh,
Discrete Binary Honey Bees Mating Optimization with Capability of
Learning, Communications in Computer and Information Science, 1,
Volume 250, Computational Intelligence and Information Technology, Part 2,
Pages 630-636, Springer, 2011
818. GAO Gui-bing, ZHANG Guo-jun, HUANG Gang, ZHU Hai-ping, GU Pei-
hua, Solving material distribution routing problem in mixed manufacturing
systems with a hybrid multi-objective evolutionary algorithm, J. Cent. South
Univ. (2012) 19: 433−442, DOI: 10.1007/s11771−012−1022−5, Springer
819. Xiao-yu Wen, Xin-yu Li, Liang Gao, Hong-yan Sang, Honey bees mating
optimization algorithm for process planning Problem, Journal of Intelligent
Manufacturing, (2014), 25, 459-472, DOI 10.1007/s10845-012-0696-8,
Springer
820. Yuan, B., Zhang, C., Lian, K., Shao, X. , A hybrid honey-bees mating
optimization algorithm for assembly sequence planning problem, Proceedings
- International Conference on Natural Computation, art. no. 6234568 , pp.
1135-1140, 2012
821. Qingfang Ruan, Zhengqian Zhang, Lixin Miao, Haitao Shen, A hybrid
approach for the vehicle routing problem with three-dimensional loading
constraints, Computers & Operations Research 40 (2013) 1579–1589
822. Zahra Saadati Eskandari, Majid Yousefikhoshbakht, Solving the Vehicle
Routing Problem by using an Effective Reactive Bone Route Algorithm,
Transportation Research Journal 1 (2012) 51-67
823. B. Xing and W.-J. Gao, Bee Inspired Algorithms, Chapter 4, Innovative
Computational Intelligence: A Rough Guide to 134 Clever Algorithms ,
Intelligent Systems Reference Library 62, DOI: 10.1007/978-3-319-03404-
1_4, Springer International Publishing Switzerland 2014, 45-80
824. Kanjana Ruttanateerawichien, Werasak Kurutach, and Tantikorn Pichpibul An
Improved Golden Ball Algorithm for the Capacitated Vehicle Routing
Problem, L. Pan et al. (Eds.): BIC-TA 2014, CCIS 472, pp. 341–356, 2014. ©
Springer-Verlag Berlin Heidelberg 2014
The paper ―Cost allocation in Combinatorial Optimization Games, Pareto Optimality,
Game Theory and Equilibria, A. Chinchuluun et al. (eds.), Springer, 217-247, 2008‖
is cited by:
825. Pearl C. C. Shum, Vincent T.Y. Ng, Multi-Agent System for Shipper‘s Truck
Freight Collaboration, Proceedings of the 2011 15th International
Conference on Computer Supported Cooperative Work in Design, 978-1-
4577-0387-4/11 ©2011 IEEE 319 - 323
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The paper ―A Hybrid Particle Swarm Optimization Algorithm for Clustering
Analysis, DaWaK 2007, Lecture Notes in Computer Science (LNCS) 4654, I.Y. Song,
J. Eder, and T.M. Nguyen (Eds.), Springer-Verlag Berlin Heidelberg, 241-250, 2007‖
is cited by:
826. Mohamed Jafar Abul Hasan, Sivakumar Ramakrishnan, A survey: hybrid
evolutionary algorithms for cluster analysis, Artificial Intelligence Reviews,
(2011), 36, 3, 179-204.
827. Ahmed A. A. Esmin, Rodrigo A. Coelho, Stan Matwin, A review on particle
swarm optimization algorithm and its variants to clustering high-dimensional
data, Artificial Intelligence Review DOI 10.1007/s10462-013-9400-4, 2013
The paper ―Heuristic Solutions of Vehicle Routing Problems in Supply Chain
Management, Combinatorial and Global Optimization, P.M. Pardalos et al. (eds.),
Scientific World, 205-235, 2002‖ is cited by:
828. Zhao, Y.W, Wu, B., Jiang, L., Dong, H.Z., Wang, W.L. Double Populations
Genetic Algorithm for Vehicle Routing Problem, Computer Integrated
Manufacturing Systems 2004 Vol.10 No.3 p.303-306
829. JIU Rubrico, J. Ota, H. Tamura, M. Akiyoshi, T. Hiqashi, Route Generation
for Warehouse Management Using Fast Heuristics, IEEE, 2004
International Conference on Intelligent Robots and Systems 2004, (IROS
2004), 2093 – 2098.
830. A. Bonfill, C. Mendez, A. Espuña and L. Puigjaner. Coordinating Production
and Transport Scheduling in SCM through Rigorous and Heuristic - Based
Methods, AiChe 2005 Annual Meeting (Cincinati, OH). Conference
Proceedings, Omnipress 2005, p. 342-346.
831. A. Bonfill. Proactive management of uncertainty to improve scheduling
robustness in process industries, Ph.D. Thesis, Universitat Politechnica of
Catalunya, Barcelona, Spain, 2006.
832. Arturo Bezerra Acioli Toscano Filho, Um Ambiente na Web para Otimização
do Transporte de Passageiros sob Regime de Fretamento, Ph.D. Thesis,
UNIVERSIDA DE FORTALEZA, Brazil, 2006
833. Méndez, C.A., Bonfill, A., Espuña, A., Puigjaner, L.. A rigorous approach to
coordinate production and transport scheduling in a multi-site system. A:
16th European Symposium on Computer Aided Process Engineering and
9th International Symposium on Process Systems Engineering. Elsevier,
Amsterdam (Ed. W. Marquardt and C. Pantelides), 2006, p. 2171-2176.
834. Huan Arturo Herrera Ortiz, Desarrollo de una Metodología Basada en
Heurísticas para la Solución Integral de Problemas de Asignación de Rutas,
Horarios y Cargas en el Proceso de Distribución y Entrega de Productos,
MSc Thesis, Instituto Technologico de Cd. Madero, Mexico
835. Y. Kim, D.W. Gu and I. Postlethwaite, Real-Time Optimal Time-Critical
Target Assignment for UAVs, M.J. Hirsch et al. (Eds.): Advances in
Cooperative Control and Optimization, Lecture Notes in Control and
Information Sciences, Vol 369, pp. 265-280, 2007.
836. Y. Kim, D.W. Gu and I. Postlethwaite, Real-Time Optimal Mission Scheduling
and Flight Path Selection, IEEE Transactions on Automatic Control, Vol.
52, No. 6, pp. 1119 – 1123, June 2007
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837. Dusan Salaj. Vehicle Routing Problem Metody Riesenia, Diplomova Praca,
Katedra Informatiky, Fakulta Matematiky, Fyziky and Informatiky Unevirzita
Komenskeho, Bratislava, May 2007.
838. Ettiene Pozzobom Lazzeris Simas, Utilizando a Busca Tabu na Resolucao do
Problema de Roteamento de Veiculos, MSc Thesis, Universidade do Vale do
Rio dos Sinos, 2007.
839. Irwan Hadi Praytino, Pengembangan Model Optimasi Pengangkutan Sampah
Di Jakarta Pusat, Ph.D Thesis, Departemen Matematika Fakultas Matematika
Dan Ilmu Pengetahuan Alam Institut Pertanian Bogor, 2007
840. Bonfill, A. Espuña and L. Puigjaner, Decision support framework for
coordinated production and transport scheduling in SCM, Computers and
Chemical Engineering (2008), 32, 1214-1232
841. Vanessa de Oliveira Ferreira, Vitória Pureza, UMA EXTENSÏO DA
HEURÏSTICA DE CLARKE E WRIGHT PARA DESIGNAÏÏO DE
ENTREGADORES EXTRAS EM ROTAS DE VEÏCULOS, XXX
ENCONTRO NACIONAL DE ENGENHARIA DE PRODUÇÃO
Maturidade e desafios da Engenharia de Produção: competitividade das
empresas, condições de trabalho, meio ambiente. São Carlos, SP, Brasil, 12
a15 de outubro de 2010.
842. Pedro Joaquim Oliveira Lopes, Aplicação de Algoritmos Genéticos na
Determinação de Circuitos Óptimos de Recolha de Resíduos Sólidos Urbanos,
Tese de Mestrado, Departamento de Engenharia Química, 2008,
Universidade de Porto, Portugal.
843. Ertan Yakıcı · Orhan Karasakal, A min–max vehicle routing problem with
split delivery and heterogeneous demand, Optimization Letters, DOI
10.1007/s11590-012-0571-8
The paper ―A Honey Bees Mating Optimization Algorithm for the Open Vehicle
Routing Problem, GECCO: 2011, Genetic and Evolutionary Computation
Conference, 2011‖, is cited by:
844. Vahid Azadehgan, Payam Khanteimouri, Sorayya Akbari, Niusha Ghandehari,
A Collaborative Approach for LA-DHBMO, Applied Mathematics, 2012, 3,
1442-1447 doi:10.4236/am.2012.330203 Published Online October 2012
(http://www.SciRP.org/journal/am)
845. Randal S. Olson, David B. Knoester, and Christoph Adami, Critical Interplay
Between Density-dependent Predation and Evolution of the Selfish Herd,
GECCO’13, July 6–10, 2013, Amsterdam, The Netherlands. Copyright 2013
ACM 978-1-4503-1963-8/13/07
846. N. Larbi, F. Debbat, A. Boudghene Stambouli, Multiuser Detection For DS-CDMA Systems Using Honeybees Mating Optimization Algorithm, Arab J Sci Eng (2014) 39:4911–4921 DOI 10.1007/s13369-014-1198-0
The paper ―A Hybrid Discrete Artificial Bee Colony – GRASP Algorithm for
Clustering‖, 39th
International Conference on Computers and Industrial Engineering,
2009‖ is cited by:
847. R.S. Parpinelli and H.S. Lopes, New inspirations in swarm intelligence: a
survey, International Journal of Bio-Inspired Computation, Volume 3,
Number 1 / 2011, 1 – 16
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848. K. Ayan and U. Kılıç, Optimal Güç Akışı Probleminin Çözümü İçin GA, MA
ve YAK Algoritmalarının Karşılaştırılmas, 6th International Advanced
Technologies Symposium (IATS’11), 16-18 May 2011, Elazığ, Turkey
849. Haiyan Zhao, Zhili Pei, Jingqing Jiang, Renchu Guan, Chaoyong
Wang;Xiaohu Shi, A Hybrid Swarm Intelligent Method Based on Genetic
Algorithm and Artificial Bee Colony, Advances in Swarm Intelligence,
2011, 558-565
850. Oleynik, A. Subbotin, S., Bee colony optimization for clustering, Modern
Problems of Radio Engineering, Telecommunications and Computer
Science (TCSET), 2010, 23-27 Feb. 2010
851. Wei-Ping Lee and Wan-Ting Cai, A Novel Artificial Bee Colony Algorithm
with Diversity Strategy, 2011 Seventh International Conference on Natural
Computation, 978-1-4244-9953-3/11/2011 IEEE, 1441-1444
852. Mohammad Ali Shafia, Mohammad Rahimi Moghaddam, Rozita Tavakolian,
A Hybrid Algorithm for Data Clustering Using Honey Bee Algorithm, Genetic
Algorithm and K-Means Method, Journal of Advanced Computer Science
and Technology Research 1 (2011) 110-125
853. K. Ayan, U. Kilic¸, Artificial Bee Colony Algorithm Solution For Optimal
Reactive Power Flow, Applied Soft Computing Journal (2012), 12, 5, 1477-
1482.
854. Dervis Karaboga, Beyza Gorkemli, Celal Ozturk, Nurhan Karaboga, A
comprehensive survey: artificial bee colony (ABC) algorithm and applications,
Artifficial Intelligence Review, (2014), 42, 21-57, DOI 10.1007/s10462-012-
9328-0
855. W. Wongthatsanekorn, B. Phruksaphanrat, and R.Sangkhasuk, Applying Bee
Colony Optimization Heuristic for Make-Pack Problem in Process
Manufacturing, Proceedings of the International Multi-Conference of
Engineers and Computer Scientists, 2012 Vol II, IMECS 2012, March 14-
16 2012, Hong Kong, ISBN 978-988-19251-9-0
856. Ayan, K., Kilic, U., Solution of multi-objective optimal power flow with
chaotic artificial bee colony algorithm, International Review of Electrical
Engineering 6 (3) , pp. 1365-1371
857. Fahad S. Abu-Mouti, Mohamed E. El-Hawary, Overview of Artificial Bee
Colony (ABC) Algorithm and Its Applications, 2012 IEEE International
Systems Conference (SysCon), 19-22 March 2012
858. Karaboga, D., Gorkemli, B., A quick artificial bee colony -qABC- algorithm
for optimization problems, INISTA 2012 - International Symposium on
INnovations in Intelligent SysTems and Applications, art. no. 6247010,
2012
859. Rafael S. Parpinelli, Fábio R. Teodoro and Heitor S. Lopes, A comparison of
swarm intelligence algorithms for structural engineering optimization,
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN
ENGINEERING (2012), Published online in Wiley Online Library
(wileyonlinelibrary.com). DOI: 10.1002/nme.4295, Copyright 2012 John
Wiley & Sons, Ltd.
860. S.-M. Chen et al., Simulated annealing based artificial bee colony algorithm
for global numerical optimization, Applied Mathematics and Computation
(2012), 219(8), 3575-3589.
Curriculum Vitae – Dr. Yannis Marinakis 97
861. Li, X.-B., Liu, L., Ma, K., Cognitive radio spectrum allocation based on
discrete artificial bee colony algorithm, Xi Tong Gong Cheng Yu Dian Zi Ji
Shu/Systems Engineering and Electronics 34 (10) , pp. 2136-2141, 2012
862. D.Akila and C.Jayakumar, Link-based Ensemble Approach for Web
Information Retrieval Using Honey Bee and K-Means Algorithm,
International Journal of Advanced Research in Computer Science and
Software Engineering, Volume 2, Issue 11, November 2012 ISSN: 2277
128X, 75-81
863. Kamalam Balasubramani, Karnan Marcus, A Comprehensive review of
Artificial Bee Colony Algorithm, International Journal of Computers &
Technology Volume 5, No. 1, May -June, 2013, ISSN 2277-3061
864. Ayan, K., Kiliç, U. , Solution of transient stability-constrained optimal power
flow using artificial bee colony algorithm, Turkish Journal of Electrical
Engineering and Computer Sciences 21 (2) , pp. 360-372, 2013
865. Bansal, J.C., Sharma, H., Jadon, S.S. , Artificial bee colony algorithm: A
survey, International Journal of Advanced Intelligence Paradigms 5 (1-2) ,
pp. 123-159, 2013
866. Salima Ouadfel, Souham Meshoul, Handling Fuzzy Image Clustering with a
Modified ABC Algorithm, International Journal of Intelligent Systems and
Applications(IJISA), Vol. 4, No. 12, November 2012, 65-74
867. Liu, T., Zhang, L., Zhang, J., Study of binary artificial bee colony algorithm
based on particle swarm optimization, Journal of Computational
Information Systems 9 (16) , pp. 6459-6466, 2013
868. Krause, J., Cordeiro, J., Parpinelli, R.S., Lopes, H.S.A., A Survey of Swarm
Algorithms Applied to Discrete Optimization Problems, Swarm Intelligence
and Bio-Inspired Computation, 2013
869. ASAJU LA‘ARO BOLAJI, AHAMAD TAJUDIN KHADER, MOHAMMED
AZMI AL-BETAR AND MOHAMMED A. AWADALLAH, ARTIFICIAL
BEE COLONY ALGORITHM, ITS VARIANTS AND APPLICATIONS: A
SURVEY, Journal of Theoretical and Applied Information Technology, 47
(2), 434-459, 2013
870. Hati, A.N. ; Darbar, R. ; Jana, N.D. ; Sil, J., Modified Artificial Bee Colony
Algorithm using differential evolution and polynomial mutation for real-
parameter optimization, 2013 International Conference on Advances in
Computing, Communications and Informatics (ICACCI), 22-25 Aug.
2013, Mysore, 534-539, DOI: 10.1109/ICACCI.2013.6637228
871. R.J. Kuo, Y.D. Huang, Chih-Chieh Lin, Yung-Hung Wu, Ferani E. Zulvia,
Automatic kernel clustering with bee colony optimization Algorithm,
Information Sciences 283 (2014) 107–122
872. Dervis Karaboga, Beyza Gorkemli, A quick artificial bee colony (qABC)
algorithm and its performance onoptimization problems, Applied Soft
Computing 23 (2014) 227–238
The paper ―A Hybrid Honey Bees Mating Optimization Algorithm for the
Probabilistic Traveling Salesman Problem, IEEE Congress on Evolutionary
Computation (CEC 2009)‖ is cited by:
873. Y-H. Liu, Different Initial Solution Generators in Genetic Algorithms for
Solving the Probabilistic Traveling Salesman Problem, Applied Mathematics
and Computation (2010), 216, 1, 125-137.
Curriculum Vitae – Dr. Yannis Marinakis 98
874. Kang, Q.-M., He, H., Song, H.-M., Deng, R., Task Allocation for Maximizing
Reliability of Distributed Computing Systems Using Honeybee Mating
Optimization, The Journal of Systems and Software (2010), 83, 11, 2165-
2174.
875. Hasan Jalili. Ahmadreza Amirzadeh, Alireza Noorafkan and Golsoom Jalili,
A new evolutionary algorithm based on data sharing concept for solving
optimization problems, Scientific Research and Essays Vol. 6(23), pp. 5082-
5090, 16 October, 2011, ISSN 1992-2248, Academic Journals.
876. Mohamed Firdhous, Osman Ghazali, and Suhaidi Hassan, Applying Bees
Algorithm for Trust Management in Cloud Computing, E. Hart et al. (Eds.):
BIONETICS 2011, LNICST 103, pp. 224–229, 2012.
877. Xiao-yu Wen, Xin-yu Li, Liang Gao, Hong-yan Sang, Honey bees mating
optimization algorithm for process planning Problem, Journal of Intelligent
Manufacturing, (2014), 25, 459-472, DOI 10.1007/s10845-012-0696-8,
Springer
878. Tomáš Čeleda, OPTIMALIZACE PÁŘENÍM VČELÍ KRÁLOVNY, ČESKÉ
VYSOKÉ UČENÍ TECHNICKÉ V PRAZE FAKULTA
ELEKTROTECHNICKÁ, MSc. Thesis, Praha 2011
879. Shiliang Luo, XuLu, Lianglun Cheng TSOIA: An efficient node selection
algorithm facing the uncertain process for Internet of Things. Journal of
Network and Computer Applications (2013),
http://dx.doi.org/10.1016/j.jnca.2012.12.015i
880. Stacy A. Voccia, Ann M. Campbell, Barrett W. Thomas, The probabilistic
traveling salesman problem with time windows, EURO Journal of
Transportation and Logistics (2013) 2:89–107
881. Huang, S.-J., Liu, X.-Z., Su, W.-F., Ou, T.-C., Application of Enhanced Honey-Bee Mating Optimization Algorithm to Fault Section Estimation in Power Systems IEEE Transactions on Power Delivery, (Volume:28 , Issue: 3 ), 1944 – 1951, 2013
882. Biao Yuan, Chaoyong Zhang, Xinyu Shao, Zhibin Jiang, An effective hybrid honey bee mating optimization algorithm for balancing mixed-model two-sided assembly lines, Computers & Operations Research 53 (2015) 32–41
883. N. Larbi, F. Debbat, A. Boudghene Stambouli, Multiuser Detection For DS-CDMA Systems Using Honeybees Mating Optimization Algorithm, Arab J Sci Eng (2014) 39:4911–4921 DOI 10.1007/s13369-014-1198-0
The paper ―Optimal Structural and Mechanism Design using Topology Optimization,
International Conference on Modeling and Simulation 08, 18-20 November 2008,
Petra, Jordan‖ is cited by:
884. M. Frantová, P. Štemberk, V. Vala, Application of strut-and-tie model on
eccentric columns, ISSN 1392 - 1207. MECHANIKA. 2011. 17(2): 126-131
The paper ―Particle Swarm Optimization Approach for Fuzzy Control of Smart
Structures, 6th
International Conference on Engineering Computational Technology
(ECT 2008)‖ is cited by:
885. Tairidis, G.K., Stavroulakis, G.E., Marinova, D. and Zacharenackis, E.,
Classical and soft robust control of smart beams, Computational Structural
Curriculum Vitae – Dr. Yannis Marinakis 99
Dynamics and Earthquake Engineering, Papadrakakis et al. (Eds), CRC
Press 2009, 165-178
The paper ―Honey Bees Mating Optimization for the Location Routing Problem,
IEEE International Engineering Management Conference (IEMC – Europe 2008)‖ is
cited by:
886. Shin-Guang Lai, Marriage in Honey Bees Algorithm-Aided Capacitor
Placement for Electric Power Distribution Systems, PhD Thesis, National
Cheng Kung University, China, 2009
887. Adriane Beatriz de Souza Serapião, Fundamentos De Otimização Por
Inteligência De Enxames: Uma Visão Geral, Revista Controle &
Automação/Vol.20 no.3/Julho, Agosto e Setembro 2009, 271 - 304
888. Tsung-Heng Chen, The study of mobile sink movement scheduling
optimization in wireless sensor networks, MSc Thesis, National Cheng Kung
University, China, 2010
889. Bernardino, Eugenia M.; Bernardino, Anabela M.; Sanchez-Perez, Juan
Manuel; Gomez-Pulido, Juan Antonio; Vega-Rodriguez, Miguel Angel;
Hybrid Honey Bees Mating Optimisation algorithm to assign terminals to
concentrators 3rd International Symposium on Applied Sciences in
Biomedical and Communication Technologies (ISABEL), DOI:
10.1109/ISABEL.2010.5702845, 2010 , 1 - 7
890. Karaoglan I, Altiparmak F. A memetic algorithm for the capacitated location-
routing problem with mixed backhauls. Computers and Operations
Research (2014), http://dx.doi.org/10.1016/j.cor.2014.06.009i
891. Sahar Validi, Arijit Bhattacharya, P.J. Byrne, A solution method for a two-
layer sustainable supply chain distribution model, Computers and
Operations Research (2014), http://dx.doi.org/10.1016/j.cor.2014.06.015i
892. Sahar Validi, Arijit Bhattacharya, P.J. Byrne, A case analysis of a sustainable
food supply chain distribution system—A multi-objective approach, Int. J.
Production Economics 152 (2014) 71–87
The paper ―Training Neural Network Based Models Using Trading Related Objective
Functions, NISIS 2007, 3rd
Annual Symposium, 26-27 November 2007, St Julians,
Malta‖ is cited by:
893. Papaconstantis, E 2009, Competitive co-evolution of trend reversal indicators
using particle swarm optimisation, MSc dissertation, University of Pretoria,
Pretoria
The paper ―Nature Inspired Intelligent Techniques for Pap Smear Diagnosis: Ant
Colony Optimization for Cell Classification‖, The Pap Smear Benchmark, Intelligent
and Nature Inspired Approaches in Pap Smear Diagnosis, Special Session
Proceedings of the NISIS - 2006 Symposium, 35 - 45, 2006‖ is cited by:
894. Andromaxi Bafiadi, Classification of Patients with Cancer using data from the
Pap-smear test, MSc Thesis, University of Ioannina, Greece, 2009.
895. RamaPraba P.S, Ranganathan H., TEXTURE BASED ANALYSIS AND
CONTOUR DETECTION OF CERVICAL SMEAR IMAGE, International
Journal on Intelligent Electronic Systems, Vol. 5, No.1, January 2011
Curriculum Vitae – Dr. Yannis Marinakis 100
The paper ―Pap Smear Diagnosis Using a Hybrid Intelligent Scheme Focusing on
Genetic Algorithm Based Feature Selection and Nearest Neighbor Classification, The
Pap Smear Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear
Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium, 15-24, 2006‖
is cited by:
896. J. Jantzen et al. Analysis of Pap-Smear Image Data, The Pap Smear
Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear
Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium, 5 -
13, November 29- December 1, 2006, Puerto de la Cruz, Tenerife, Spain.
897. C. Duanggate, B. Uyyanonvara, and T. Koanantakul, A Review of Image
Analysis and Pattern Classification Techniques for Automatic Pap Smear
Screening Process, The 2008 International Conference on Embedded
Systems and Intelligent Technology February 27-29, 2008, Grand Mercure
Fortune Hotel, Bangkok, Thailand.
898. Pilar Sobrevilla, Eduard Montseny, Fabio Vaschetto, Enrique Lerma, Fuzzy-
based analysis of microscopic color cervical pap smear images: nuclei
detection, International Journal of Computational Intelligence and
Applications (IJCIA), Volume: 9, Issue: 3(2010) pp. 187-206 DOI:
10.1142/S1469026810002860
899. Andromaxi Bafiadi, Classification of Patients with Cancer using data from the
Pap-smear test, MSc Thesis, University of Ioannina, Greece, 2009.
The paper ―Nearest Neighbor Based Pap Smear Cell Classification Using Tabu Search
for Feature Selection, The Pap Smear Benchmark, Intelligent and Nature Inspired
Approaches in Pap Smear Diagnosis, Special Session Proceedings of the NISIS -
2006 Symposium, 25-34, 2006‖ is cited by:
900. J. Jantzen et al. Analysis of Pap-Smear Image Data, The Pap Smear
Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear
Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium, 5 -
13, November 29- December 1, 2006, Puerto de la Cruz, Tenerife, Spain.
901. C. Duanggate, B. Uyyanonvara, and T. Koanantakul, A Review of Image
Analysis and Pattern Classification Techniques for Automatic Pap Smear
Screening Process, The 2008 International Conference on Embedded
Systems and Intelligent Technology February 27-29, 2008, Grand Mercure
Fortune Hotel, Bangkok, Thailand.
902. Pilar Sobrevilla, Eduard Montseny, Fabio Vaschetto, Enrique Lerma, Fuzzy-
based analysis of microscopic color cervical pap smear images: nuclei
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904. RamaPraba P.S, Ranganathan H., TEXTURE BASED ANALYSIS AND
CONTOUR DETECTION OF CERVICAL SMEAR IMAGE, International
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905. Luz Helena Camargo Casallas, Classification of squamous cell cervical
cytology, Thesis submitted in partial fulfillment of the requirements for
Curriculum Vitae – Dr. Yannis Marinakis 101
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