TacticOperatorsManager

java.lang.Object

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

Direct Known Subclasses:: QMLBoundDependentTacticOperatorsManager

public class TacticOperatorsManager extends Object

Field Summary

Fields

Modifier and Type

Field

Description

protected Random

generator

protected Collection<ITactic>

heuristics

Heuristics to be used to generate candidates

protected ResultsWriter

writer
Constructor Summary

Constructors

Constructor

Description

TacticOperatorsManager(org.opt4j.operator.copy.Copy<org.opt4j.core.Genotype> copy, DSEIndividualFactory individualFactory)
Method Summary

Modifier and Type

Method

Description

List<TacticsResultCandidate>

getAllCandidates(DSEIndividual individual)

Applies registered heuristics to individual and returns candidates

DSEIndividual

getCandidate(DSEIndividual individual)

Applies registered heuristics to individual and returns random candidate based on candidate weight and heuristic weight.

Collection<ITactic>

getHeuristics()

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details
- heuristics
  
  protected Collection<ITactic> heuristics
  
  Heuristics to be used to generate candidates
- writer
  
  protected ResultsWriter writer
- generator
  
  protected Random generator
Constructor Details
- TacticOperatorsManager
  
  public TacticOperatorsManager(org.opt4j.operator.copy.Copy<org.opt4j.core.Genotype> copy, DSEIndividualFactory individualFactory)
  
  Parameters:
  
  copy - Creates copy of genotypes
  
  individualFactory - Builds individual
Method Details
- getAllCandidates
  
  public List<TacticsResultCandidate> getAllCandidates(DSEIndividual individual)
  
  Applies registered heuristics to individual and returns candidates
  
  Parameters:
  
  individual -
  
  Returns:
- getCandidate
  
  public DSEIndividual getCandidate(DSEIndividual individual)
  
  Applies registered heuristics to individual and returns random candidate based on candidate weight and heuristic weight. Returns null if no heuristic can be be applied.
  
  Parameters:
  
  individual -
  
  Returns:
  
  Random candidate from registered heuristic or null if no heuristic can be applied
- getHeuristics
  
  public Collection<ITactic> getHeuristics()