Class | Description |
---|---|
BestSelection |
Performs a tournament selection restricted to only the best, or worst, n
indivdiuals in the population.
|
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 | |
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.
|