Package de.uka.ipd.sdq.dsexplore.opt4j.optimizer.heuristic.operators

Class TacticsResultCandidate

java.lang.Object

org.opt4j.core.Individual

de.uka.ipd.sdq.dsexplore.opt4j.representation.DSEIndividual

de.uka.ipd.sdq.dsexplore.opt4j.optimizer.heuristic.operators.TacticsResultCandidate

public class TacticsResultCandidate
extends DSEIndividual

HeuristicCandidate is used to manage the candidates generated be heuristics

Nested Class Summary

Nested classes/interfaces inherited from class org.opt4j.core.Individual

org.opt4j.core.Individual.State

Field Summary

Fields

Modifier and Type	Field	Description
protected static org.apache.log4j.Logger	logger

Fields inherited from class org.opt4j.core.Individual

genotype, individualStateListeners, objectives, phenotype, state

Constructor Summary

Constructors

Constructor	Description
TacticsResultCandidate(DecisionSpace problem, DSEIndividual parent)

Method Summary

Modifier and Type	Method	Description
double	getCandidateWeight()
double	getFinalWeight()	Returns product of Heuristic Weight and Candidate Weight
ITactic	getHeuristic()
DSEIndividual	getParent()
void	setCandidateWeight(double candidateWeight)	Sets weight of candidate
void	setHeuristic(ITactic heuristic)	Sets heuristic that generated candidate

Methods inherited from class de.uka.ipd.sdq.dsexplore.opt4j.representation.DSEIndividual

equals, getGenotype, getGenotypeString, getID, getNumericID, getObjectives, getProblem, hashCode, setIndividualStatusListeners, setObjectives

Methods inherited from class org.opt4j.core.Individual

getPhenotype, getState, isDecoded, isEvaluated, setGenotype, setPhenotype, setState

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, toString, wait, wait, wait

Field Details

logger

protected static org.apache.log4j.Logger logger

Constructor Details

TacticsResultCandidate

public TacticsResultCandidate(DecisionSpace problem,
 DSEIndividual parent)

Method Details

getCandidateWeight

public double getCandidateWeight()

Returns:

Weight of candidate

setCandidateWeight

public void setCandidateWeight(double candidateWeight)

Sets weight of candidate

Parameters:

candidateWeight - Weight of candidate. If parameter is < 0, weight will be 0. If parameter is > 1, weight will be 1

getHeuristic

public ITactic getHeuristic()

Returns:

Heuristic that generated this candidate

setHeuristic

public void setHeuristic(ITactic heuristic)

Sets heuristic that generated candidate

Parameters:

heuristic -

getFinalWeight

public double getFinalWeight()

Returns product of Heuristic Weight and Candidate Weight

Returns:

getParent

public DSEIndividual getParent()

Returns:

the parent