| 1 | package de.uka.ipd.sdq.dsexplore.opt4j.optimizer.heuristic.operators; |
| 2 | |
| 3 | import java.util.ArrayList; |
| 4 | import java.util.List; |
| 5 | |
| 6 | import org.opt4j.core.problem.Genotype; |
| 7 | import org.opt4j.operator.copy.Copy; |
| 8 | |
| 9 | import de.uka.ipd.sdq.dsexplore.launch.DSEWorkflowConfiguration; |
| 10 | import de.uka.ipd.sdq.dsexplore.opt4j.representation.DSEIndividualBuilder; |
| 11 | import de.uka.ipd.sdq.dsexplore.qml.contract.QMLContract.EvaluationAspect; |
| 12 | import de.uka.ipd.sdq.dsexplore.qml.contracttype.QMLContractType.Dimension; |
| 13 | import de.uka.ipd.sdq.dsexplore.qml.reader.QMLDimensionReader; |
| 14 | |
| 15 | public abstract class AbstractTactic implements ITactic { |
| 16 | /** |
| 17 | * Weight of this heuristics. Used for randomly select a candidate |
| 18 | * out of a set of candidates |
| 19 | */ |
| 20 | private double heuristicWeight; |
| 21 | private int numberOfGeneratedCandidates = 0; |
| 22 | /** |
| 23 | * Creates copy of genotypes |
| 24 | */ |
| 25 | protected final Copy<Genotype> copy; |
| 26 | |
| 27 | /** |
| 28 | * Builds individual |
| 29 | */ |
| 30 | protected final DSEIndividualBuilder individualBuilder; |
| 31 | |
| 32 | /** |
| 33 | * The paths of the QML dimension definition. These dimension are improved by applying this tactic |
| 34 | * May be empty. |
| 35 | */ |
| 36 | private String[] improvesDimensionPath; |
| 37 | |
| 38 | /** |
| 39 | * cache id |
| 40 | */ |
| 41 | private List<String> dimensionIdList = null; |
| 42 | |
| 43 | /** |
| 44 | * @param copy Creates copy of genotypes |
| 45 | * @param individualBuilder Builds individual |
| 46 | */ |
| 47 | public AbstractTactic(Copy<Genotype> copy, |
| 48 | DSEIndividualBuilder individualBuilder, DSEWorkflowConfiguration configuration, |
| 49 | String[] strings) { |
| 50 | this.copy = copy; |
| 51 | this.individualBuilder = individualBuilder; |
| 52 | this.improvesDimensionPath = strings; |
| 53 | } |
| 54 | |
| 55 | final protected void increaseCounterOfGeneratedCandidates() { |
| 56 | numberOfGeneratedCandidates++; |
| 57 | } |
| 58 | |
| 59 | /** |
| 60 | * @return Weight used for selecting candidate out of a set of candidates |
| 61 | */ |
| 62 | final public double getHeuristicWeight() { |
| 63 | return heuristicWeight; |
| 64 | } |
| 65 | |
| 66 | final protected void setHeuristicWeight(double weight) { |
| 67 | heuristicWeight = weight; |
| 68 | } |
| 69 | |
| 70 | /** |
| 71 | * @return Number of candidates generated by this heuristic |
| 72 | */ |
| 73 | final public int getNumberOfGeneratedCandidates() { |
| 74 | return numberOfGeneratedCandidates; |
| 75 | } |
| 76 | |
| 77 | @Override |
| 78 | public final boolean improves(Dimension dimension, EvaluationAspect aspect) { |
| 79 | |
| 80 | // initialise dimension id list if necessary |
| 81 | if(dimensionIdList == null) { |
| 82 | dimensionIdList = new ArrayList<String>(this.improvesDimensionPath.length); |
| 83 | for (String dimensionPath : this.improvesDimensionPath) { |
| 84 | String dimensionId = new QMLDimensionReader().getDimension(dimensionPath).getId(); |
| 85 | dimensionIdList.add(dimensionId); |
| 86 | } |
| 87 | |
| 88 | } |
| 89 | |
| 90 | for (String dimensionId : this.dimensionIdList) { |
| 91 | // return true if any of this tactics improved dimensions matches |
| 92 | if (dimension.getId().equals(dimensionId)) |
| 93 | return true; |
| 94 | } |
| 95 | |
| 96 | //if no dimension matches, return false |
| 97 | return false; |
| 98 | } |
| 99 | |
| 100 | @Override |
| 101 | public boolean doesNotImprove(Dimension dimension, EvaluationAspect aspect) { |
| 102 | return !improves(dimension, aspect); |
| 103 | } |
| 104 | |
| 105 | } |