// ES_main.java
//
// Author:
// Antonio J. Nebro <antonio@lcc.uma.es>
// Juan J. Durillo <durillo@lcc.uma.es>
//
// Copyright (c) 2011 Antonio J. Nebro, Juan J. Durillo
//
// This program 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 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 Lesser General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public License
// along with this program. If not, see <http://www.gnu.org/licenses/>.
package jmetal.metaheuristics.singleObjective.evolutionStrategy;
import jmetal.core.Algorithm;
import jmetal.core.Operator;
import jmetal.core.Problem;
import jmetal.core.SolutionSet;
import jmetal.operators.mutation.MutationFactory;
import jmetal.problems.singleObjective.OneMax;
import jmetal.util.JMException;
import java.util.HashMap;
/**
* This class runs a single-objective Evolution Strategy (ES). The ES can be
* a (mu+lambda) ES (class ElitistES) or a (mu,lambda) ES (class NonElitistGA).
* The OneMax problem is used to test the algorithms.
*/
public class ES_main {
public static void main(String [] args) throws JMException, ClassNotFoundException {
Problem problem ; // The problem to solve
Algorithm algorithm ; // The algorithm to use
Operator mutation ; // Mutation operator
HashMap parameters ; // Operator parameters
int bits ; // Length of bit string in the OneMax problem
bits = 512 ;
problem = new OneMax("Binary", bits);
int mu ;
int lambda ;
// Requirement: lambda must be divisible by mu
mu = 1 ;
lambda = 10 ;
algorithm = new ElitistES(problem, mu, lambda);
//algorithm = new NonElitistES(problem, mu, lambda);
/* Algorithm params*/
algorithm.setInputParameter("maxEvaluations", 20000);
/* Mutation and Crossover for Real codification */
parameters = new HashMap() ;
parameters.put("probability", 1.0/bits) ;
mutation = MutationFactory.getMutationOperator("BitFlipMutation", parameters);
algorithm.addOperator("mutation",mutation);
/* Execute the Algorithm */
long initTime = System.currentTimeMillis();
SolutionSet population = algorithm.execute();
long estimatedTime = System.currentTimeMillis() - initTime;
System.out.println("Total execution time: "+estimatedTime);
/* Log messages */
System.out.println("Objectives values have been writen to file FUN");
population.printObjectivesToFile("FUN");
System.out.println("Variables values have been writen to file VAR");
population.printVariablesToFile("VAR");
}//main
} // ES_main