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Demonstrates how to use a collector to record the population at each generation
/* Copyright 2009-2016 David Hadka
*
* This file is part of the MOEA Framework.
*
* The MOEA Framework is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as published by
* the Free Software Foundation, either version 3 of the License, or (at your
* option) any later version.
*
* The MOEA Framework is distributed in the hope that it will be useful, but
* WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
* or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public
* License for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with the MOEA Framework. If not, see <http://www.gnu.org/licenses/>.
*/
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import org.moeaframework.Executor;
import org.moeaframework.Instrumenter;
import org.moeaframework.analysis.collector.Accumulator;
import org.moeaframework.analysis.collector.AttachPoint;
import org.moeaframework.analysis.collector.Collector;
import org.moeaframework.core.EvolutionaryAlgorithm;
import org.moeaframework.core.Population;
import org.moeaframework.core.Solution;
/**
* Demonstrates the use of the {@code Instrumenter} to collect the population
* of an evolutionary algorithm.
*/
public class PopulationCollectorExample {
/**
* Collects the population from an {@link EvolutionaryAlgorithm}.
*/
public static class PopulationCollector implements Collector {
/**
* The algorithm instance used by this collector; or {@code null} if this
* collector has not yet been attached.
*/
private final EvolutionaryAlgorithm algorithm;
/**
* Constructs an unattached collector for recording the population used by
* an {@code EvolutionaryAlgorithm}.
*/
public PopulationCollector() {
this(null);
}
/**
* Constructs a collector for recording the population used by the specified
* {@code EvolutionaryAlgorithm}.
*
* @param algorithm the algorithm this collector records data from
*/
public PopulationCollector(EvolutionaryAlgorithm algorithm) {
super();
this.algorithm = algorithm;
}
@Override
public AttachPoint getAttachPoint() {
return AttachPoint.isSubclass(EvolutionaryAlgorithm.class).and(
AttachPoint.not(AttachPoint.isNestedIn(
EvolutionaryAlgorithm.class)));
}
@Override
public Collector attach(Object object) {
return new PopulationCollector(
(EvolutionaryAlgorithm)object);
}
@Override
public void collect(Accumulator accumulator) {
ArrayList<Solution> list = new ArrayList<Solution>();
Population population = algorithm.getPopulation();
for (Solution solution : population) {
list.add(solution);
}
accumulator.add("Population", list);
}
}
public static void main(String[] args) throws IOException {
// setup the instrumenter to record the population
Instrumenter instrumenter = new Instrumenter()
.withFrequency(100)
.attach(new PopulationCollector());
// use the executor to run the algorithm with the instrumenter
new Executor()
.withProblem("UF1")
.withAlgorithm("NSGAII")
.withMaxEvaluations(10000)
.withInstrumenter(instrumenter)
.run();
Accumulator accumulator = instrumenter.getLastAccumulator();
// print the population at each generation
for (int i = 0; i < accumulator.size("NFE"); i++) {
System.out.println("NFE: " + accumulator.get("NFE", i));
for (Solution solution : (List<Solution>)accumulator.get("Population", i)) {
System.out.print(" V:");
for (int j = 0; j < solution.getNumberOfVariables(); j++) {
System.out.print(" ");
System.out.print(solution.getVariable(j));
}
System.out.print(" O:");
for (int j = 0; j < solution.getNumberOfObjectives(); j++) {
System.out.print(" ");
System.out.print(solution.getObjective(j));
}
System.out.print(" C:");
for (int j = 0; j < solution.getNumberOfConstraints(); j++) {
System.out.print(" ");
System.out.print(solution.getConstraint(j));
}
System.out.println();
}
}
}
}
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