Package ec.select

package ec.select
  • Classes
    Class
    Description
    AnnealedSelection
    Returns an individual using a form of simulated annealing.
    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.
    LexicaseSelection
     
    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.
    TopSelection
    Returns the single fittest individual in the population, breaking ties randomly.
    TournamentSelection
    Does a simple tournament selection, limited to the subpopulation it's working in at the time.