ec.vector.breed
Class ListCrossoverPipeline

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

public class ListCrossoverPipeline
extends BreedingPipeline

ListCrossoverPipeline is a crossover pipeline for vector individuals whose length may be lengthened or shortened. There are two crossover options available: one-point and two-point. One-point crossover picks a crossover point for each of the vectors (the crossover point can be different), and then does one-point crossover using those points. Two-point crossover picks TWO crossover points for each of the vectors (again, the points can be different among the vectors), and swaps the middle regions between the respective crossover points.

ListCrossoverPipeline will try tries times to meet certain constraints: first, the resulting children must be no smaller than min-child-size. Second, the amount of material removed from a parent must be no less than mix-crossover-percent and no more than max-crossover-percent.

If toss is true, then only one child is generated, else at most two are generated.

Typical Number of Individuals Produced Per produce(...) call
2 * minimum typical number of individuals produced by each source, unless toss is set, in which case it's simply the minimum typical number.

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.tries
int >= 1
(number of times to try finding valid crossover points)
base.min-child-size
int >= 0 (default)
(the minimum allowed size of a child)
base.min-crossover-percent
0 (default) <= float <= 1
(the minimum percentage of an individual that may be removed during crossover)
base.max-crossover-percent
0 <= float <= 1 (default)
(the maximum percentage of an individual that may be removed during crossover)

Default Base
vector.list-xover

See Also:
Serialized Form

Field Summary
 int crossoverType
           
 float maxCrossoverPercentage
           
 int minChildSize
           
 float minCrossoverPercentage
           
static int NUM_SOURCES
           
 int numTries
           
static java.lang.String P_LIST_CROSSOVER
           
static java.lang.String P_MAX_CROSSOVER_PERCENT
           
static java.lang.String P_MIN_CHILD_SIZE
           
static java.lang.String P_MIN_CROSSOVER_PERCENT
           
static java.lang.String P_NUM_TRIES
           
static java.lang.String P_TOSS
           
 boolean tossSecondParent
           
 
Fields inherited from class ec.BreedingPipeline
DYNAMIC_SOURCES, likelihood, mybase, P_LIKELIHOOD, P_NUMSOURCES, P_SOURCE, sources, V_SAME
 
Fields inherited from class ec.BreedingSource
NO_PROBABILITY, P_PROB, probability
 
Constructor Summary
ListCrossoverPipeline()
           
 
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 the number of sources to this pipeline.
 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 "typical" number of individuals produced -- by default this is the minimum typical number of individuals produced by any children sources of the pipeline.
 
Methods inherited from class ec.BreedingPipeline
finishProducing, individualReplaced, maxChildProduction, minChildProduction, preparePipeline, prepareToProduce, produces, reproduce, 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_LIST_CROSSOVER

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

P_MIN_CHILD_SIZE

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

P_NUM_TRIES

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

P_MIN_CROSSOVER_PERCENT

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

P_MAX_CROSSOVER_PERCENT

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

NUM_SOURCES

public static final int NUM_SOURCES
See Also:
Constant Field Values

tossSecondParent

public boolean tossSecondParent

crossoverType

public int crossoverType

minChildSize

public int minChildSize

numTries

public int numTries

minCrossoverPercentage

public float minCrossoverPercentage

maxCrossoverPercentage

public float maxCrossoverPercentage
Constructor Detail

ListCrossoverPipeline

public ListCrossoverPipeline()
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()
Description copied from class: BreedingPipeline
Returns 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:
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()
Description copied from class: BreedingPipeline
Returns the "typical" number of individuals produced -- by default this is the minimum typical number of individuals produced by any children sources of the pipeline. If you'd prefer something different, override this method.

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