Genetic Algorithms. 2 Introduction To Genetic Algorithms (GAs)
Genetic Algorithms
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Genetic Algorithms Rachel Prudden
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Transcript of Genetic Algorithms
Genetic AlgorithmsRachel Prudden
Inspiration from biology
fitness function
selection
map
mutation
cross-over
Examples
Scheduling
genetic programming
Network optimisation
Pollution sources
hillclimbing
randomsearch
GAs
Difficulties
Bootstrapping
Bad combinations
Co-dependence
(1,1,1,1,1,1) =
(0,0,0,0,0,0) =
(1,0,1,0,0,1) =
(2,3,3,1,2,2,1,1,1,3)
(1,2,2,3,1,1,2,2,3,1,1,3)
1x2 2x3 1x1 2x2 3x11x3
Good for optimising granular functions
Easy to write
Thank you!
(also, they have a cool name)