ec.vector.breed
Class MultipleVectorCrossoverPipeline

java.lang.Object
  extended by ec.BreedingSource
      extended by ec.BreedingPipeline
          extended by ec.vector.breed.MultipleVectorCrossoverPipeline
All Implemented Interfaces:
Prototype, Setup, SteadyStateBSourceForm, RandomChoiceChooser, java.io.Serializable, java.lang.Cloneable

public class MultipleVectorCrossoverPipeline
extends BreedingPipeline

MultipleVectorCrossoverPipeline is a BreedingPipeline which implements a uniform (any point) crossover between multiple vectors. It is intended to be used with three or more vectors. It takes n parent individuals and returns n crossed over individuals. The number of parents and consequently children is specified by the number of sources parameter.

The standard vector crossover probability is used for this crossover type.
Note : It is necessary to set the crossover-type parameter to 'any' in order to use this pipeline.

Typical Number of Individuals Produced Per produce(...) call
number of parents

Number of Sources
variable (generally 3 or more)

Default Base
vector.multixover

See Also:
Serialized Form

Field Summary
static java.lang.String P_CROSSOVER
          default base
 
Fields inherited from class ec.BreedingPipeline
DYNAMIC_SOURCES, mybase, P_NUMSOURCES, P_SOURCE, sources, V_SAME
 
Fields inherited from class ec.BreedingSource
CHECKBOUNDARY, DEFAULT_PRODUCED, NO_PROBABILITY, P_PROB, probability, UNUSED
 
Constructor Summary
MultipleVectorCrossoverPipeline()
           
 
Method Summary
 java.lang.Object clone()
          Creates a new individual cloned from a prototype, and suitable to begin use in its own evolutionary context.
 Parameter defaultBase()
          Returns the default base for this prototype.
 int multipleBitVectorCrossover(int min, int max, int start, int subpopulation, Individual[] inds, EvolutionState state, int thread)
          Crosses over the Bit Vector Individuals using a uniform crossover method.
 int multipleByteVectorCrossover(int min, int max, int start, int subpopulation, Individual[] inds, EvolutionState state, int thread)
          Crosses over the Byte Vector Individuals using a uniform crossover method.
 int multipleDoubleVectorCrossover(int min, int max, int start, int subpopulation, Individual[] inds, EvolutionState state, int thread)
          Crosses over the Double Vector Individuals using a uniform crossover method.
 int multipleFloatVectorCrossover(int min, int max, int start, int subpopulation, Individual[] inds, EvolutionState state, int thread)
          Crosses over the Float Vector Individuals using a uniform crossover method.
 int multipleGeneVectorCrossover(int min, int max, int start, int subpopulation, Individual[] inds, EvolutionState state, int thread)
          Crosses over the Gene Vector Individuals using a uniform crossover method.
 int multipleIntegerVectorCrossover(int min, int max, int start, int subpopulation, Individual[] inds, EvolutionState state, int thread)
          Crosses over the Integer Vector Individuals using a uniform crossover method.
 int multipleLongVectorCrossover(int min, int max, int start, int subpopulation, Individual[] inds, EvolutionState state, int thread)
          Crosses over the Long Vector Individuals using a uniform crossover method.
 int multipleShortVectorCrossover(int min, int max, int start, int subpopulation, Individual[] inds, EvolutionState state, int thread)
          Crosses over the Short Vector Individuals using a uniform crossover method.
 int numSources()
          Returns the number of parents
 int produce(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.
 void setup(EvolutionState state, Parameter base)
          Sets up the BreedingPipeline.
 int typicalIndsProduced()
          Returns the minimum number of children that are produced per crossover
 
Methods inherited from class ec.BreedingPipeline
finishProducing, individualReplaced, maxChildProduction, minChildProduction, preparePipeline, prepareToProduce, produces, sourcesAreProperForm
 
Methods inherited from class ec.BreedingSource
getProbability, pickRandom, setProbability, setupProbabilities
 
Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Field Detail

P_CROSSOVER

public static final java.lang.String P_CROSSOVER
default base

See Also:
Constant Field Values
Constructor Detail

MultipleVectorCrossoverPipeline

public MultipleVectorCrossoverPipeline()
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(...).


numSources

public int numSources()
Returns the number of parents

Specified by:
numSources in class BreedingPipeline

clone

public java.lang.Object clone()
Description copied from interface: Prototype
Creates a new individual cloned from a prototype, and suitable to begin use in its own evolutionary context.

Typically this should be a full "deep" clone. However, you may share certain elements with other objects rather than clone hem, depending on the situation:

Implementations.

Specified by:
clone in interface Prototype
Overrides:
clone in class BreedingPipeline

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 BreedingPipeline
See Also:
Prototype.setup(EvolutionState,Parameter)

typicalIndsProduced

public int typicalIndsProduced()
Returns the minimum number of children that are produced per crossover

Overrides:
typicalIndsProduced in class BreedingPipeline

produce

public int produce(int min,
                   int max,
                   int start,
                   int subpopulation,
                   Individual[] inds,
                   EvolutionState state,
                   int thread)
Description copied from class: 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.

Specified by:
produce in class BreedingSource

multipleBitVectorCrossover

public int multipleBitVectorCrossover(int min,
                                      int max,
                                      int start,
                                      int subpopulation,
                                      Individual[] inds,
                                      EvolutionState state,
                                      int thread)
Crosses over the Bit Vector Individuals using a uniform crossover method. There is no need to call this method separately; produce(...) calls it whenever necessary by default.


multipleByteVectorCrossover

public int multipleByteVectorCrossover(int min,
                                       int max,
                                       int start,
                                       int subpopulation,
                                       Individual[] inds,
                                       EvolutionState state,
                                       int thread)
Crosses over the Byte Vector Individuals using a uniform crossover method. There is no need to call this method separately; produce(...) calls it whenever necessary by default.


multipleDoubleVectorCrossover

public int multipleDoubleVectorCrossover(int min,
                                         int max,
                                         int start,
                                         int subpopulation,
                                         Individual[] inds,
                                         EvolutionState state,
                                         int thread)
Crosses over the Double Vector Individuals using a uniform crossover method. There is no need to call this method separately; produce(...) calls it whenever necessary by default.


multipleFloatVectorCrossover

public int multipleFloatVectorCrossover(int min,
                                        int max,
                                        int start,
                                        int subpopulation,
                                        Individual[] inds,
                                        EvolutionState state,
                                        int thread)
Crosses over the Float Vector Individuals using a uniform crossover method. There is no need to call this method separately; produce(...) calls it whenever necessary by default.


multipleGeneVectorCrossover

public int multipleGeneVectorCrossover(int min,
                                       int max,
                                       int start,
                                       int subpopulation,
                                       Individual[] inds,
                                       EvolutionState state,
                                       int thread)
Crosses over the Gene Vector Individuals using a uniform crossover method. There is no need to call this method separately; produce(...) calls it whenever necessary by default.


multipleIntegerVectorCrossover

public int multipleIntegerVectorCrossover(int min,
                                          int max,
                                          int start,
                                          int subpopulation,
                                          Individual[] inds,
                                          EvolutionState state,
                                          int thread)
Crosses over the Integer Vector Individuals using a uniform crossover method. There is no need to call this method separately; produce(...) calls it whenever necessary by default.


multipleLongVectorCrossover

public int multipleLongVectorCrossover(int min,
                                       int max,
                                       int start,
                                       int subpopulation,
                                       Individual[] inds,
                                       EvolutionState state,
                                       int thread)
Crosses over the Long Vector Individuals using a uniform crossover method. There is no need to call this method separately; produce(...) calls it whenever necessary by default.


multipleShortVectorCrossover

public int multipleShortVectorCrossover(int min,
                                        int max,
                                        int start,
                                        int subpopulation,
                                        Individual[] inds,
                                        EvolutionState state,
                                        int thread)
Crosses over the Short Vector Individuals using a uniform crossover method. There is no need to call this method separately; produce(...) calls it whenever necessary by default.