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## ec.cgp
Class ESSelectionCGP

    java.lang.Object
      ec.BreedingSource
          ec.SelectionMethod
              ec.es.ESSelection
                  ec.cgp.ESSelectionCGP

All Implemented Interfaces:
  ec.Prototype, ec.Setup, ec.util.RandomChoiceChooser, java.io.Serializable, java.lang.Cloneable

    public class ESSelectionCGP

extends ec.es.ESSelection

CGP benefits greatly from 'neutrality', the idea that genetic drift yields to diverse individuals having equal fitness. This hacked ESSelection ensures equally-fit individuals are uniformly considered during ES selection.

Author:
  David Oranchak, doranchak@gmail.com, http://oranchak.com
See Also:
  Serialized Form

Field Summary

Fields inherited from class ec.es.ESSelection
`P_ESSELECT`

Fields inherited from class ec.SelectionMethod
`INDS_PRODUCED`

Fields inherited from class ec.BreedingSource
`CHECKBOUNDARY, DEFAULT_PRODUCED, NO_PROBABILITY, P_PROB, probability, UNUSED`

Constructor Summary
`ESSelectionCGP()`

Method Summary
`int` | `produce(int min, int max, int start, int subpopulation, ec.Individual[] inds, ec.EvolutionState state, int thread)` Produces n individuals from the given subpopulation and puts them into inds[start...start+n-1], where n = Min(Max(q,min),max), where q is the "typical" number of individuals the BreedingSource produces in one shot, and returns n.

Methods inherited from class ec.es.ESSelection
`defaultBase, prepareToProduce, produce`

Methods inherited from class ec.SelectionMethod
`finishProducing, preparePipeline, produces, typicalIndsProduced`

Methods inherited from class ec.BreedingSource
`clone, getProbability, pickRandom, setProbability, setup, setupProbabilities`

Methods inherited from class java.lang.Object
`equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Constructor Detail

### ESSelectionCGP

    public ESSelectionCGP()

Method Detail

### produce

    public int produce(int min,
                       int max,
                       int start,
                       int subpopulation,
                       ec.Individual[] inds,
                       ec.EvolutionState state,
                       int thread)

  Description copied from class: `ec.BreedingSource`
  Produces n individuals from the given subpopulation and puts them into inds[start...start+n-1], where n = Min(Max(q,min),max), where q is the "typical" number of individuals the BreedingSource produces in one shot, and returns n. max must be >= min, and min must be >= 1. For example, crossover might typically produce two individuals, tournament selection might typically produce a single individual, etc.

  Overrides:
    `produce` in class `ec.es.ESSelection`

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