org.uma.jmetal.runner.AbstractAlgorithmRunner Maven / Gradle / Ivy
package org.uma.jmetal.runner;
import org.uma.jmetal.qualityindicator.impl.*;
import org.uma.jmetal.qualityindicator.impl.hypervolume.PISAHypervolume;
import org.uma.jmetal.solution.Solution;
import org.uma.jmetal.util.JMetalLogger;
import org.uma.jmetal.util.fileoutput.SolutionListOutput;
import org.uma.jmetal.util.fileoutput.impl.DefaultFileOutputContext;
import org.uma.jmetal.util.front.Front;
import org.uma.jmetal.util.front.imp.ArrayFront;
import org.uma.jmetal.util.front.util.FrontNormalizer;
import org.uma.jmetal.util.front.util.FrontUtils;
import org.uma.jmetal.util.point.util.PointSolution;
import org.uma.jmetal.util.pseudorandom.JMetalRandom;
import java.io.FileNotFoundException;
import java.util.List;
/**
* Abstract class for Runner classes
*
* @author Antonio J. Nebro
*/
public abstract class AbstractAlgorithmRunner {
/**
* Write the population into two files and prints some data on screen
* @param population
*/
public static void printFinalSolutionSet(List> population) {
new SolutionListOutput(population)
.setSeparator("\t")
.setVarFileOutputContext(new DefaultFileOutputContext("VAR.tsv"))
.setFunFileOutputContext(new DefaultFileOutputContext("FUN.tsv"))
.print();
JMetalLogger.logger.info("Random seed: " + JMetalRandom.getInstance().getSeed());
JMetalLogger.logger.info("Objectives values have been written to file FUN.tsv");
JMetalLogger.logger.info("Variables values have been written to file VAR.tsv");
}
/**
* Print all the available quality indicators
* @param population
* @param paretoFrontFile
* @throws FileNotFoundException
*/
public static > void printQualityIndicators(List population, String paretoFrontFile)
throws FileNotFoundException {
Front referenceFront = new ArrayFront(paretoFrontFile);
FrontNormalizer frontNormalizer = new FrontNormalizer(referenceFront) ;
Front normalizedReferenceFront = frontNormalizer.normalize(referenceFront) ;
Front normalizedFront = frontNormalizer.normalize(new ArrayFront(population)) ;
List normalizedPopulation = FrontUtils
.convertFrontToSolutionList(normalizedFront) ;
String outputString = "\n" ;
outputString += "Hypervolume (N) : " +
new PISAHypervolume(normalizedReferenceFront).evaluate(normalizedPopulation) + "\n";
outputString += "Hypervolume : " +
new PISAHypervolume(referenceFront).evaluate(population) + "\n";
outputString += "Epsilon (N) : " +
new Epsilon(normalizedReferenceFront).evaluate(normalizedPopulation) +
"\n" ;
outputString += "Epsilon : " +
new Epsilon(referenceFront).evaluate(population) + "\n" ;
outputString += "GD (N) : " +
new GenerationalDistance(normalizedReferenceFront).evaluate(normalizedPopulation) + "\n";
outputString += "GD : " +
new GenerationalDistance(referenceFront).evaluate(population) + "\n";
outputString += "IGD (N) : " +
new InvertedGenerationalDistance(normalizedReferenceFront).evaluate(normalizedPopulation) + "\n";
outputString +="IGD : " +
new InvertedGenerationalDistance(referenceFront).evaluate(population) + "\n";
outputString += "IGD+ (N) : " +
new InvertedGenerationalDistancePlus(normalizedReferenceFront).evaluate(normalizedPopulation) + "\n";
outputString += "IGD+ : " +
new InvertedGenerationalDistancePlus(referenceFront).evaluate(population) + "\n";
outputString += "Spread (N) : " +
new Spread(normalizedReferenceFront).evaluate(normalizedPopulation) + "\n";
outputString += "Spread : " +
new Spread(referenceFront).evaluate(population) + "\n";
// outputString += "R2 (N) : " +
// new R2>(normalizedReferenceFront).runAlgorithm(normalizedPopulation) + "\n";
// outputString += "R2 : " +
// new R2>>(referenceFront).runAlgorithm(population) + "\n";
outputString += "Error ratio : " +
new ErrorRatio>>(referenceFront).evaluate(population) + "\n";
JMetalLogger.logger.info(outputString);
}
}