ec.breed
Class ForceBreedingPipeline
- java.lang.Object
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- ec.BreedingSource
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- ec.BreedingPipeline
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- ec.breed.ForceBreedingPipeline
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- All Implemented Interfaces:
- Prototype, Setup, SteadyStateBSourceForm, RandomChoiceChooserD, java.io.Serializable, java.lang.Cloneable
public class ForceBreedingPipeline extends BreedingPipeline
ForceBreedingPipeline has one source. To fill its quo for produce(...), ForceBreedingPipeline repeatedly forces its source to produce exactly numInds individuals at a time, except possibly the last time, where the number of individuals its source produces may be as low as 1. This is useful for forcing Crossover to produce only one individual, or mutation to produce 2 individuals always, etc.Typical Number of Individuals Produced Per produce(...) call
Determined by base.num-indsNumber of Sources
1Parameters
base.num-inds
int >= 1(The number of individuals this breeding pipeline will force its source to produce each time in order to fill the quo for produce(...).) Default Base
breed.force- See Also:
- Serialized Form
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Field Summary
Fields Modifier and Type Field and Description intnumIndsstatic java.lang.StringP_FORCEstatic java.lang.StringP_NUMINDS-
Fields inherited from class ec.BreedingPipeline
DYNAMIC_SOURCES, likelihood, mybase, P_LIKELIHOOD, P_NUMSOURCES, P_SOURCE, sources, V_SAME
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Fields inherited from class ec.BreedingSource
NO_PROBABILITY, P_PROB, probability
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Constructor Summary
Constructors Constructor and Description ForceBreedingPipeline()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method and Description ParameterdefaultBase()Returns the default base for this prototype.intnumSources()Returns the number of sources to this pipeline.intproduce(int min, int max, int start, int subpopulation, Individual[] inds, 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.voidsetup(EvolutionState state, Parameter base)Sets up the BreedingPipeline.inttypicalIndsProduced()Returns the max of typicalIndsProduced() of all its children-
Methods inherited from class ec.BreedingPipeline
clone, finishProducing, individualReplaced, maxChildProduction, minChildProduction, preparePipeline, prepareToProduce, produces, reproduce, sourcesAreProperForm
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Methods inherited from class ec.BreedingSource
getProbability, pickRandom, setProbability, setupProbabilities
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Field Detail
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P_NUMINDS
public static final java.lang.String P_NUMINDS
- See Also:
- Constant Field Values
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P_FORCE
public static final java.lang.String P_FORCE
- See Also:
- Constant Field Values
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numInds
public int numInds
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Method Detail
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defaultBase
public Parameter defaultBase()
Description copied from interface:PrototypeReturns 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(...).
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numSources
public int numSources()
Description copied from class:BreedingPipelineReturns the number of sources to this pipeline. Called during BreedingPipeline's setup. Be sure to return a value > 0, or DYNAMIC_SOURCES which indicates that setup should check the parameter file for the parameter "num-sources" to make its determination.- Specified by:
numSourcesin classBreedingPipeline
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setup
public void setup(EvolutionState state, Parameter base)
Description copied from class:BreedingSourceSets 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:
setupin interfacePrototype- Specified by:
setupin interfaceSetup- Overrides:
setupin classBreedingPipeline- See Also:
Prototype.setup(EvolutionState,Parameter)
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typicalIndsProduced
public int typicalIndsProduced()
Returns the max of typicalIndsProduced() of all its children- Overrides:
typicalIndsProducedin classBreedingPipeline
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produce
public int produce(int min, int max, int start, int subpopulation, Individual[] inds, EvolutionState state, int thread)Description copied from class:BreedingSourceProduces 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.- Specified by:
producein classBreedingSource
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