Documentation of 'ec.select.BestSelection' Java class
BestSelection
ec.select

Class BestSelection

  • All Implemented Interfaces:
    Prototype, Setup, RandomChoiceChooserD, java.io.Serializable, java.lang.Cloneable


    public class BestSelection
    extends SelectionMethod
    Performs a tournament selection restricted to only the best, or worst, n indivdiuals in the population. If the best individuals, then tournament selection will prefer the better among them; if the worst individuals, then tournament selection will prefer the worse among them. The procedure for performing restriction is expensive to set up and bring down, so it's not appropriate for steady-state evolution. Like TournamentSelection, the size of the tournament can be any If you're not familiar with the relative advantages of selection methods and just want a good one, use TournamentSelection instead. Not appropriate for multiobjective fitnesses.

    The tournament size can be any floating point value >= 1.0. If it is a non- integer value x then either a tournament of size ceil(x) is used (with probability x - floor(x)), else a tournament of size floor(x) is used.

    Typical Number of Individuals Produced Per produce(...) call
    Always 1.

    Parameters

    base.pick-worst
    bool = true or false (default)
    (should we pick from among the worst n individuals in the tournament instead of the best n?)
    base.size
    double >= 1
    (the tournament size)
    base.n
    int > 0
    (the number of best-individuals to select from)
    base.n-fraction
    0.0 <= double < 1.0 (default is 1)
    (the number of best-individuals to select from, as a fraction of the total population)

    Default Base
    select.best

    See Also:
    Serialized Form
    • Field Detail

      • size

        public int size
        Base size of the tournament; this may change.
      • probabilityOfPickingSizePlusOne

        public double probabilityOfPickingSizePlusOne
        Probablity of picking the size plus one.
      • pickWorst

        public boolean pickWorst
        Do we pick the worst instead of the best?
      • sortedPop

        public int[] sortedPop
        Sorted, normalized, totalized fitnesses for the population
      • bestn

        public int bestn
      • bestnFrac

        public double bestnFrac
    • Constructor Detail

      • BestSelection

        public BestSelection()
    • Method Detail

      • defaultBase

        public Parameter defaultBase()
        Description copied from interface: Prototype
        Returns the default base for this prototype. This should generally be implemented by building off of the static base() method on the DefaultsForm object for the prototype's package. This should be callable during setup(...).
      • setup

        public void setup(EvolutionState state,
                          Parameter base)
        Description copied from class: BreedingSource
        Sets up the BreedingPipeline. You can use state.output.error here because the top-level caller promises to call exitIfErrors() after calling setup. Note that probability might get modified again by an external source if it doesn't normalize right.

        The most common modification is to normalize it with some other set of probabilities, then set all of them up in increasing summation; this allows the use of the fast static BreedingSource-picking utility method, BreedingSource.pickRandom(...). In order to use this method, for example, if four breeding source probabilities are {0.3, 0.2, 0.1, 0.4}, then they should get normalized and summed by the outside owners as: {0.3, 0.5, 0.6, 1.0}.

        Specified by:
        setup in interface Prototype
        Specified by:
        setup in interface Setup
        Overrides:
        setup in class BreedingSource
        See Also:
        Prototype.setup(EvolutionState,Parameter)
      • produce

        public int produce(int subpopulation,
                           EvolutionState state,
                           int thread)
        Description copied from class: SelectionMethod
        An alternative form of "produce" special to Selection Methods; selects an individual from the given subpopulation and returns its position in that subpopulation.
        Specified by:
        produce in class SelectionMethod

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