org.uma.jmetal.runner.multiobjective.SMPSOBigDataRunner Maven / Gradle / Ivy
package org.uma.jmetal.runner.multiobjective;
import org.uma.jmetal.algorithm.Algorithm;
import org.uma.jmetal.algorithm.multiobjective.smpso.SMPSO;
import org.uma.jmetal.algorithm.multiobjective.smpso.SMPSOBuilder;
import org.uma.jmetal.operator.MutationOperator;
import org.uma.jmetal.operator.impl.mutation.PolynomialMutation;
import org.uma.jmetal.problem.DoubleProblem;
import org.uma.jmetal.problem.multiobjective.cec2015OptBigDataCompetition.BigOpt2015;
import org.uma.jmetal.solution.DoubleSolution;
import org.uma.jmetal.util.AbstractAlgorithmRunner;
import org.uma.jmetal.util.AlgorithmRunner;
import org.uma.jmetal.util.JMetalLogger;
import org.uma.jmetal.util.archive.BoundedArchive;
import org.uma.jmetal.util.archive.impl.CrowdingDistanceArchive;
import org.uma.jmetal.util.fileoutput.SolutionListOutput;
import org.uma.jmetal.util.fileoutput.impl.DefaultFileOutputContext;
import org.uma.jmetal.util.pseudorandom.JMetalRandom;
import java.util.List;
/**
* Class for configuring and running the SMPSO algorithm to solve a problem of the CEC2015
* Big Optimization competition
*
* @author Antonio J. Nebro
*/
public class SMPSOBigDataRunner extends AbstractAlgorithmRunner {
/**
* @param args Command line arguments. The first (optional) argument specifies
* the problem to solve.
* @throws org.uma.jmetal.util.JMetalException
* @throws java.io.IOException
* @throws SecurityException
* Invoking command:
java org.uma.jmetal.runner.multiobjective.SMPSOBigDataRunner problemName [referenceFront]
*/
public static void main(String[] args) throws Exception {
DoubleProblem problem;
Algorithm> algorithm;
MutationOperator mutation;
String instanceName ;
if (args.length == 1) {
instanceName = args[0] ;
} else {
instanceName = "D12" ;
}
problem = new BigOpt2015(instanceName) ;
BoundedArchive archive = new CrowdingDistanceArchive(20) ;
double mutationProbability = 1.0 / problem.getNumberOfVariables() ;
double mutationDistributionIndex = 20.0 ;
mutation = new PolynomialMutation(mutationProbability, mutationDistributionIndex) ;
algorithm = new SMPSOBuilder(problem, archive)
.setMutation(mutation)
.setMaxIterations(250)
.setSwarmSize(20)
// .setRandomGenerator(new MersenneTwisterGenerator())
.build();
AlgorithmRunner algorithmRunner = new AlgorithmRunner.Executor(algorithm)
.execute();
List population = ((SMPSO)algorithm).getResult();
long computingTime = algorithmRunner.getComputingTime();
new SolutionListOutput(population)
.setSeparator("\t")
.setVarFileOutputContext(new DefaultFileOutputContext("VAR.tsv"))
.setFunFileOutputContext(new DefaultFileOutputContext("FUN.tsv"))
.print();
JMetalLogger.logger.info("Total execution time: " + computingTime + "ms");
JMetalLogger.logger.info("Objectives values have been written to file FUN.tsv");
JMetalLogger.logger.info("Variables values have been written to file VAR.tsv");
JMetalLogger.logger.info("Random seed: " + JMetalRandom.getInstance().getSeed()) ;
}
}
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