Using Problem-Specific Knowledge and Learning from Experience in Estimation of Distribution Algorithms
cAS: The Cunning Ant System
EDA Tutorial
An Introduction and Survey of Estimation of Distribution Algorithms
Pairwise and Problem-Specific Distance Metrics in the Linkage Tree Genetic Algorithm
Initial-Population Bias in the Univariate Estimation of Distribution Algorithm
Performance of Evolutionary Algorithms on NK Landscapes with Nearest Neighbor Interactions and Tunable Overlap
Fitness inheritance in the Bayesian optimization algorithm
Effects of a Deterministic Hill climber on hBOA
Estimation of Distribution Algorithms Tutorial
Spurious Dependencies and EDA Scalability
The Bayesian Optimization Algorithm with Substructural Local Search
Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA
Image segmentation using a genetic algorithm and hierarchical local search
NK Landscapes, Problem Difficulty, and Hybrid Evolutionary Algorithms
Analysis of Evolutionary Algorithms on the One-Dimensional Spin Glass with Power-Law Interactions
Efficiency Enhancement of Estimation of Distribution Algorithms
iBOA: The Incremental Bayesian Optimization Algorithm
Computational complexity and simulation of rare events of Ising spin glasses
