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added multithreading for multiobjective problems

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This commit is contained in:
Michael de Paly 2009-10-08 01:22:10 +00:00
parent 8fce8d5e89
commit 4ce58888d9
1 changed files with 64 additions and 1 deletions
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65
src/eva2/server/go/problems/AbstractMultiObjectiveOptimizationProblem.java
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@ -2,6 +2,7 @@ package eva2.server.go.problems;
import java.awt.Color; import java.awt.Color;
import java.util.ArrayList; import java.util.ArrayList;
import java.util.Vector;
import javax.swing.JFrame; import javax.swing.JFrame;
@ -18,6 +19,7 @@ import eva2.server.go.operators.moso.MOSONoConvert;
import eva2.server.go.operators.paretofrontmetrics.InterfaceParetoFrontMetric; import eva2.server.go.operators.paretofrontmetrics.InterfaceParetoFrontMetric;
import eva2.server.go.operators.paretofrontmetrics.MetricS; import eva2.server.go.operators.paretofrontmetrics.MetricS;
import eva2.server.go.populations.Population; import eva2.server.go.populations.Population;
import eva2.server.go.problems.AbstractOptimizationProblem.EvalThread;
import eva2.tools.chart2d.DPoint; import eva2.tools.chart2d.DPoint;
/** /**
@ -29,6 +31,47 @@ import eva2.tools.chart2d.DPoint;
*/ */
public abstract class AbstractMultiObjectiveOptimizationProblem extends AbstractOptimizationProblem { public abstract class AbstractMultiObjectiveOptimizationProblem extends AbstractOptimizationProblem {
class MultiObjectiveEvalThread extends Thread{
AbstractMultiObjectiveOptimizationProblem prob;
AbstractEAIndividual ind;
Vector<AbstractEAIndividual> resultrep;
Population pop;
public MultiObjectiveEvalThread(AbstractMultiObjectiveOptimizationProblem prob,AbstractEAIndividual ind,Vector<AbstractEAIndividual> resultrep, Population pop) {
this.ind = ind;
this.prob = prob;
this.resultrep = resultrep;
this.pop = pop;
}
public void run() {
double[] fitness;
prob.evaluate(ind);
resultrep.add(ind);
fitness = ind.getFitness();
// check and update border if necessary
if (m_Border == null)
prob.m_Border = new double[fitness.length][2];
else if (fitness.length != prob.m_Border.length) {
//System.out.println("AbstractMOOptimizationProblem: Warning fitness.length("+fitness.length+") doesn't fit border.length("+this.m_Border.length+")");
//System.out.println("Resetting the border!");
prob.m_Border = new double[fitness.length][2];
}
for (int j = 0; j < fitness.length; j++) {
// if ((this.m_Border[j][0] > fitness[j]) || (this.m_Border[j][1] < fitness[j])) {
// System.out.println("border... " + j);
// System.out.println(this.m_Border[j][0]+" > "+fitness[j]);
// System.out.println(this.m_Border[j][1]+" < "+fitness[j]);
// }
prob.m_Border[j][0] = Math.min(prob.m_Border[j][0], fitness[j]);
prob.m_Border[j][1] = Math.max(prob.m_Border[j][1], fitness[j]);
}
pop.incrFunctionCalls();
}
}
protected InterfaceMOSOConverter m_MOSOConverter = new MOSONoConvert(); protected InterfaceMOSOConverter m_MOSOConverter = new MOSONoConvert();
protected InterfaceParetoFrontMetric m_Metric = new MetricS(); protected InterfaceParetoFrontMetric m_Metric = new MetricS();
transient protected Population m_ParetoFront = new Population(); transient protected Population m_ParetoFront = new Population();
@ -141,6 +184,26 @@ public abstract class AbstractMultiObjectiveOptimizationProblem extends Abstract
evaluatePopulationStart(population); evaluatePopulationStart(population);
if (this.parallelthreads > 1) {
Vector<AbstractEAIndividual> queue = new Vector<AbstractEAIndividual>();
Vector<AbstractEAIndividual> finished = new Vector<AbstractEAIndividual>();
queue.addAll(population);
while (finished.size() < population.size()) {
if ((population.size()-(queue.size() + finished.size())) < parallelthreads) {
if (queue.size() > 0) {
AbstractEAIndividual tmpindy = queue.get(0);
queue.remove(0);
tmpindy.resetConstraintViolation();
MultiObjectiveEvalThread evalthread = new MultiObjectiveEvalThread(this,tmpindy,finished,population);
evalthread.start();
}
}
}
}else {
// first evaluate the population // first evaluate the population
for (int i = 0; i < population.size(); i++) { for (int i = 0; i < population.size(); i++) {
tmpIndy = (AbstractEAIndividual) population.get(i); tmpIndy = (AbstractEAIndividual) population.get(i);
@ -166,7 +229,7 @@ public abstract class AbstractMultiObjectiveOptimizationProblem extends Abstract
} }
population.incrFunctionCalls(); population.incrFunctionCalls();
} }
}
evaluatePopulationEnd(population); // refactored by MK evaluatePopulationEnd(population); // refactored by MK
} }