es.udc.gii.common.eaf.log.BestEverIndividualLogTool.java Source code

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Here is the source code for es.udc.gii.common.eaf.log.BestEverIndividualLogTool.java

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/*
* Copyright (C) 2010 Grupo Integrado de Ingeniera
* 
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
* 
* This program 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 General Public License for more details.
* 
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/

package es.udc.gii.common.eaf.log;

import es.udc.gii.common.eaf.algorithm.EvolutionaryAlgorithm;
import es.udc.gii.common.eaf.algorithm.population.Individual;
import es.udc.gii.common.eaf.algorithm.productTrader.IndividualsProductTrader;
import es.udc.gii.common.eaf.algorithm.productTrader.specification.BestIndividualSpecification;
import es.udc.gii.common.eaf.util.ConfWarning;
import java.util.ArrayList;
import java.util.List;
import java.util.Observable;
import org.apache.commons.configuration.Configuration;

/**
 * This log tool implements a log tool that record the number of generations performed and the
 * best individual after the replace stage of the algorithm. This log tool does not need any
 * kind of configuration, apart from the configuration need in the superclass.
 * 
 * @author Grupo Integrado de Ingeniera (<a href="http://www.gii.udc.es">www.gii.udc.es</a>)
 * @since 1.0
 */
public class BestEverIndividualLogTool extends LogTool {

    private List fes_prints = new ArrayList();
    private int fes_index = 0;

    @Override
    public void configure(Configuration conf) {

        super.configure(conf);
        if (conf.containsKey("Fes_Prints")) {
            this.fes_prints = conf.getList("Fes_Prints");
        } else {
            ConfWarning w = new ConfWarning("Fes_Prints", "Empty List");
            w.warn();
        }
    }

    @Override
    public void update(Observable o, Object arg) {

        EvolutionaryAlgorithm algorithm = (EvolutionaryAlgorithm) o;
        BestIndividualSpecification bestSpec = new BestIndividualSpecification();
        Individual best;
        int algorithm_fes;

        super.update(o, arg);

        if (algorithm.getState() == EvolutionaryAlgorithm.REPLACE_STATE) {

            algorithm_fes = algorithm.getFEs();

            if (this.fes_prints.size() > 0) {

                if (algorithm_fes >= Integer.parseInt((String) this.fes_prints.get(fes_index))) {

                    best = algorithm.getBestEverIndividual();

                    super.getLog().println(algorithm.getGenerations() + " - " + best.toString());

                }
            } else {

                best = algorithm.getBestEverIndividual();

                String s = "";

                s += algorithm.getGenerations() + " - ";

                for (int i = 0; i < best.getChromosomes().length; i++) {

                    for (int j = 0; j < best.getChromosomeAt(i).length; j++) {

                        s += best.getChromosomeAt(i)[j] + " ";

                    }

                }

                s += " - " + best.getFitness();

                super.getLog().println(s);

            }

        }

    }

    @Override
    public String getLogID() {
        return "besteverindividual";
    }
}