/** * Copyright (C) 2010-2017 Gordon Fraser, Andrea Arcuri and EvoSuite * contributors * * This file is part of EvoSuite. * * EvoSuite 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 3.0 of the License, or * (at your option) any later version. * * EvoSuite 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 Public License for more details. * * You should have received a copy of the GNU Lesser General Public * License along with EvoSuite. If not, see <http://www.gnu.org/licenses/>. */ /** * */ package org.evosuite.ga.metaheuristics; import org.evosuite.ga.Chromosome; import org.evosuite.ga.ChromosomeFactory; import org.slf4j.Logger; import org.slf4j.LoggerFactory; /** * <p> * RandomSearch class. * </p> * * @author Gordon Fraser */ public class RandomSearch<T extends Chromosome> extends GeneticAlgorithm<T> { private static final Logger logger = LoggerFactory.getLogger(RandomSearch.class); /** * <p> * Constructor for RandomSearch. * </p> * * @param factory * a {@link org.evosuite.ga.ChromosomeFactory} object. */ public RandomSearch(ChromosomeFactory<T> factory) { super(factory); } private static final long serialVersionUID = -7685015421245920459L; /* (non-Javadoc) * @see org.evosuite.ga.GeneticAlgorithm#evolve() */ /** {@inheritDoc} */ @Override protected void evolve() { T newChromosome = chromosomeFactory.getChromosome(); getFitnessFunction().getFitness(newChromosome); notifyEvaluation(newChromosome); if (newChromosome.compareTo(getBestIndividual()) <= 0) { logger.info("New fitness: " + newChromosome.getFitness()); population.set(0, newChromosome); } currentIteration++; } /* (non-Javadoc) * @see org.evosuite.ga.GeneticAlgorithm#initializePopulation() */ /** {@inheritDoc} */ @Override public void initializePopulation() { generateRandomPopulation(1); calculateFitnessAndSortPopulation(); } /* (non-Javadoc) * @see org.evosuite.ga.GeneticAlgorithm#generateSolution() */ /** {@inheritDoc} */ @Override public void generateSolution() { notifySearchStarted(); if (population.isEmpty()) initializePopulation(); currentIteration = 0; while (!isFinished()) { evolve(); this.notifyIteration(); } updateBestIndividualFromArchive(); notifySearchFinished(); } }