ec.eda.dovs

Class HyperboxSpecies

java.lang.Object

ec.Species

ec.vector.VectorSpecies

ec.vector.IntegerVectorSpecies

ec.eda.dovs.DOVSSpecies

ec.eda.dovs.HyperboxSpecies

All Implemented Interfaces:

Prototype, Setup, java.io.Serializable, java.lang.Cloneable

public class HyperboxSpecies
extends DOVSSpecies

HyperboxSpecies is a DOVSSpecies which contains method for updating promising sample area and also sample from that area.

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
java.util.ArrayList<double[]>	boxA boxA and boxB contain the current constraint hyperbox.
java.util.ArrayList<java.lang.Double>	boxB boxA and boxB contain the current constraint hyperbox.
static double	EPSILON_STABILITY
static double	LARGE_NUMBER
static double	UPPER_BOUND

Fields inherited from class ec.eda.dovs.DOVSSpecies

A, activeSolutions, b, corners, Ek, initialReps, numOfTotalSamples, optimalIndex, P_A, P_B, P_CONSTRAINTS_SIZE, P_DOVS_SPECIES, P_INITIAL_REPETITION, P_STOCHASTIC, P_WARM_UP, repetition, stochastic, visited, visitedIndexMap, warmUp

Fields inherited from class ec.vector.IntegerVectorSpecies

C_RANDOM_WALK_MUTATION, C_RESET_MUTATION, maxGene, minGene, mutationIsBounded, mutationType, P_MAXGENE, P_MINGENE, P_MUTATION_BOUNDED, P_MUTATIONTYPE, P_NUM_SEGMENTS, P_RANDOM_WALK_PROBABILITY, P_SEGMENT, P_SEGMENT_END, P_SEGMENT_START, P_SEGMENT_TYPE, randomWalkProbability, V_RANDOM_WALK_MUTATION, V_RESET_MUTATION

Fields inherited from class ec.vector.VectorSpecies

C_ANY_POINT, C_GEOMETRIC, C_INTERMED_RECOMB, C_LINE_RECOMB, C_NONE, C_ONE_POINT, C_ONE_POINT_NO_NOP, C_SIMULATED_BINARY, C_TWO_POINT, C_TWO_POINT_NO_NOP, C_UNIFORM, chunksize, crossoverDistributionIndex, crossoverProbability, crossoverType, duplicateRetries, dynamicInitialSize, genomeIncreaseProbability, genomeResizeAlgorithm, genomeSize, lineDistance, maxInitialSize, minInitialSize, mutationProbability, P_CHUNKSIZE, P_CROSSOVER_DISTRIBUTION_INDEX, P_CROSSOVERPROB, P_CROSSOVERTYPE, P_DUPLICATE_RETRIES, P_GENOMESIZE, P_GEOMETRIC_PROBABILITY, P_LINEDISTANCE, P_MUTATIONPROB, P_UNIFORM_MAX, P_UNIFORM_MIN, P_VECTORSPECIES, V_ANY_POINT, V_GEOMETRIC, V_INTERMED_RECOMB, V_LINE_RECOMB, V_ONE_POINT, V_ONE_POINT_NO_NOP, V_SIMULATED_BINARY, V_TWO_POINT, V_TWO_POINT_NO_NOP, V_UNIFORM

Fields inherited from class ec.Species

f_prototype, i_prototype, P_FITNESS, P_INDIVIDUAL, P_PIPE, pipe_prototype

Constructor Summary

Constructors

Constructor and Description
HyperboxSpecies()

Method Summary

Modifier and Type	Method and Description
java.util.ArrayList<Individual>	mostPromisingAreaSamples(EvolutionState state, int popSize) Sample from the hyperbox to get new samples for evaluation.
void	setup(EvolutionState state, Parameter base) The default version of setup(...) loads requested pipelines and calls setup(...) on them and normalizes their probabilities.
void	updateMostPromisingArea(EvolutionState state) Constructing a hyperbox, which defines the next search area.

Methods inherited from class ec.eda.dovs.DOVSSpecies

defaultBase, findBestSample, uniqueSamples

Methods inherited from class ec.vector.IntegerVectorSpecies

inNumericalTypeRange, inNumericalTypeRange, loadParametersForGene, maxGene, minGene, mutationIsBounded, mutationType, randomWalkProbability

Methods inherited from class ec.vector.VectorSpecies

contains, contains, contains, contains, duplicateRetries, fill, fill, fill, fill, initializeGenomeSegmentsByEndIndices, initializeGenomeSegmentsByStartIndices, mutationProbability, newIndividual, setupGenome

Methods inherited from class ec.Species

buildMisc, clone, newIndividual, newIndividual, updateIndividual, updateSubpopulation

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

boxA

public java.util.ArrayList<double[]> boxA

boxA and boxB contain the current constraint hyperbox.

boxB

public java.util.ArrayList<java.lang.Double> boxB

boxA and boxB contain the current constraint hyperbox.

UPPER_BOUND

public static double UPPER_BOUND

EPSILON_STABILITY

public static double EPSILON_STABILITY

LARGE_NUMBER

public static double LARGE_NUMBER

Constructor Detail

HyperboxSpecies

public HyperboxSpecies()

Method Detail

setup

public void setup(EvolutionState state,
                  Parameter base)

Description copied from class: Species

The default version of setup(...) loads requested pipelines and calls setup(...) on them and normalizes their probabilities. If your individual prototype might need to know special things about the species (like parameters stored in it), then when you override this setup method, you'll need to set those parameters BEFORE you call super.setup(...), because the setup(...) code in Species sets up the prototype.

Specified by:

setup in interface Prototype

Specified by:

setup in interface Setup

Overrides:

setup in class DOVSSpecies

See Also:

Prototype.setup(EvolutionState,Parameter)

updateMostPromisingArea

public void updateMostPromisingArea(EvolutionState state)

Constructing a hyperbox, which defines the next search area.

Overrides:

updateMostPromisingArea in class DOVSSpecies

mostPromisingAreaSamples

public java.util.ArrayList<Individual> mostPromisingAreaSamples(EvolutionState state,
                                                                int popSize)

Sample from the hyperbox to get new samples for evaluation.

Overrides:

mostPromisingAreaSamples in class DOVSSpecies