ec.rule.breed
Class RuleCrossoverPipeline

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

public class RuleCrossoverPipeline
extends BreedingPipeline

RuleCrossoverPipeline is a BreedingPipeline which implements a simple default crossover for RuleIndividuals. Normally it takes two individuals and returns two crossed-over child individuals. Optionally, it can take two individuals, cross them over, but throw away the second child (a one-child crossover). RuleCrossoverPipeline works by calling defaultCrossover(...) on the first parent individual.

Typical Number of Individuals Produced Per produce(...) call
1 or 2

Number of Sources
2

Parameters

base.toss
bool = true or false (default)/td>
(after crossing over with the first new individual, should its second sibling individual be thrown away instead of adding it to the population?)
base.prob
0.0 <= float < 1.0, or 0.5 (default)/td>
(probability that a rule will cross over from one individual to the other)

Default Base
rule.xover

Version:
1.0
Author:
Sean Luke
See Also:
Serialized Form

Field Summary
static int INDS_PRODUCED
           
static int NUM_SOURCES
           
static java.lang.String P_CROSSOVER
           
static java.lang.String P_CROSSOVERPROB
           
static java.lang.String P_TOSS
           
 float ruleCrossProbability
          What is the probability of a rule migrating?
 boolean tossSecondParent
          Should the pipeline discard the second parent after crossing over?
 
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
RuleCrossoverPipeline()
           
 
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 numSources()
          Returns 2
 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 2 (unless tossing the second sibling, in which case it returns 1)
 
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_TOSS

public static final java.lang.String P_TOSS
See Also:
Constant Field Values

P_CROSSOVER

public static final java.lang.String P_CROSSOVER
See Also:
Constant Field Values

P_CROSSOVERPROB

public static final java.lang.String P_CROSSOVERPROB
See Also:
Constant Field Values

INDS_PRODUCED

public static final int INDS_PRODUCED
See Also:
Constant Field Values

NUM_SOURCES

public static final int NUM_SOURCES
See Also:
Constant Field Values

tossSecondParent

public boolean tossSecondParent
Should the pipeline discard the second parent after crossing over?


ruleCrossProbability

public float ruleCrossProbability
What is the probability of a rule migrating?

Constructor Detail

RuleCrossoverPipeline

public RuleCrossoverPipeline()
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 2

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 2 (unless tossing the second sibling, in which case it returns 1)

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