Class Summary |
BestSelection |
Picks among the best n individuals in a population in
direct proportion to their absolute
fitnesses as returned by their fitness() methods relative to the
fitnesses of the other "best" individuals in that n. |
BoltzmannSelection |
Similar to FitProportionateSelection, but with a Simulated Annealing style twist. |
FirstSelection |
Always picks the first individual in the subpopulation. |
FitProportionateSelection |
Picks individuals in a population in direct proportion to their
fitnesses as returned by their fitness() methods. |
GreedyOverselection |
GreedyOverselection is a SelectionMethod which implements Koza-style
fitness-proportionate greedy overselection. |
MultiSelection |
MultiSelection is a SelectionMethod which stores some n subordinate
SelectionMethods. |
RandomSelection |
Picks a random individual in the subpopulation. |
SelectDefaults |
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SigmaScalingSelection |
Similar to FitProportionateSelection, but with adjustments to scale up/exaggerate differences in fitness for selection when true fitness values are very close to
eachother across the population. |
SUSSelection |
Picks individuals in a population using the Stochastic Universal Selection (SUS) process, using
fitnesses as returned by their fitness() methods. |
TournamentSelection |
Does a simple tournament selection, limited to the subpopulation it's
working in at the time. |