org.uma.jmetal.runner.multiobjective.MOCHC45Runner Maven / Gradle / Ivy
package org.uma.jmetal.runner.multiobjective;
import org.uma.jmetal.algorithm.Algorithm;
import org.uma.jmetal.algorithm.multiobjective.mochc.MOCHC45;
import org.uma.jmetal.operator.CrossoverOperator;
import org.uma.jmetal.operator.MutationOperator;
import org.uma.jmetal.operator.SelectionOperator;
import org.uma.jmetal.operator.impl.crossover.HUXCrossover;
import org.uma.jmetal.operator.impl.mutation.BitFlipMutation;
import org.uma.jmetal.operator.impl.selection.RandomSelection;
import org.uma.jmetal.operator.impl.selection.RankingAndCrowdingSelection;
import org.uma.jmetal.problem.BinaryProblem;
import org.uma.jmetal.solution.BinarySolution;
import org.uma.jmetal.util.AbstractAlgorithmRunner;
import org.uma.jmetal.util.AlgorithmRunner;
import org.uma.jmetal.util.JMetalLogger;
import org.uma.jmetal.util.ProblemUtils;
import org.uma.jmetal.util.evaluator.impl.SequentialSolutionListEvaluator;
import java.util.List;
/**
* This class executes the algorithm described in:
* A.J. Nebro, E. Alba, G. Molina, F. Chicano, F. Luna, J.J. Durillo
* "Optimal antenna placement using a new multi-objective chc algorithm".
* GECCO '07: Proceedings of the 9th annual conference on Genetic and
* evolutionary computation. London, England. July 2007.
*/
public class MOCHC45Runner extends AbstractAlgorithmRunner {
public static void main(String[] args) throws Exception {
CrossoverOperator crossoverOperator;
MutationOperator mutationOperator;
SelectionOperator, BinarySolution> parentsSelection;
SelectionOperator, List> newGenerationSelection;
Algorithm> algorithm ;
BinaryProblem problem ;
String problemName ;
if (args.length == 1) {
problemName = args[0] ;
} else {
problemName = "org.uma.jmetal.problem.multiobjective.zdt.ZDT5";
}
problem = (BinaryProblem) ProblemUtils. loadProblem(problemName);
crossoverOperator = new HUXCrossover(1.0) ;
parentsSelection = new RandomSelection() ;
newGenerationSelection = new RankingAndCrowdingSelection(100) ;
mutationOperator = new BitFlipMutation(0.35) ;
algorithm = new MOCHC45(problem, 100, 25000, 3, 0.05, 0.25, crossoverOperator, mutationOperator,
newGenerationSelection, parentsSelection, new SequentialSolutionListEvaluator()) ;
AlgorithmRunner algorithmRunner = new AlgorithmRunner.Executor(algorithm)
.execute() ;
List population = (algorithm).getResult() ;
long computingTime = algorithmRunner.getComputingTime() ;
JMetalLogger.logger.info("Total execution time: " + computingTime + "ms");
printFinalSolutionSet(population);
//if (!referenceParetoFront.equals("")) {
// printQualityIndicators(population, referenceParetoFront) ;
//}
}
}
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