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//  SMPSORunner.java
//
//  Author:
//       Antonio J. Nebro 
//
//  Copyright (c) 2014 Antonio J. Nebro
//
//  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 .

package org.uma.jmetal.runner.multiobjective;

import org.uma.jmetal.algorithm.Algorithm;
import org.uma.jmetal.algorithm.multiobjective.smpso.SMPSO;
import org.uma.jmetal.algorithm.multiobjective.smpso.SMPSOBuilder;
import org.uma.jmetal.operator.MutationOperator;
import org.uma.jmetal.operator.impl.mutation.PolynomialMutation;
import org.uma.jmetal.problem.DoubleProblem;
import org.uma.jmetal.solution.DoubleSolution;
import org.uma.jmetal.util.AlgorithmRunner;
import org.uma.jmetal.util.JMetalLogger;
import org.uma.jmetal.util.ProblemUtils;
import org.uma.jmetal.util.archive.Archive;
import org.uma.jmetal.util.archive.impl.FastHypervolumeArchive;
import org.uma.jmetal.util.evaluator.impl.SequentialSolutionListEvaluator;
import org.uma.jmetal.util.fileoutput.SolutionSetOutput;
import org.uma.jmetal.util.fileoutput.impl.DefaultFileOutputContext;
import org.uma.jmetal.util.pseudorandom.JMetalRandom;

import java.util.List;

/**
 * This class executes:
 * - The SMPSO algorithm described in:
 *   Antonio J. Nebro, Juan José Durillo, Carlos Artemio Coello Coello:
 *   Analysis of leader selection strategies in a multi-objective Particle Swarm Optimizer.
 *   IEEE Congress on Evolutionary Computation 2013: 3153-3160
 * - The SMPSOhv algorithm described in:
 *   Antonio J. Nebro, Juan José Durillo, Carlos Artemio Coello Coello:
 *   Analysis of leader selection strategies in a multi-objective Particle Swarm Optimizer.
 *   IEEE Congress on Evolutionary Computation 2013: 3153-3160
 */
public class SMPSOHvRunner {
  /**
   * @param args Command line arguments. The first (optional) argument specifies
   *             the problem to solve.
   * @throws org.uma.jmetal.util.JMetalException
   * @throws java.io.IOException
   * @throws SecurityException
   * Usage: three options
   *          - org.uma.jmetal.runner.multiobjective.SMPSORunner
   *          - org.uma.jmetal.runner.multiobjective.SMPSORunner problemName
   *          - org.uma.jmetal.runner.multiobjective.SMPSORunner problemName ParetoFrontFile
   */
  public static void main(String[] args) throws Exception {
    DoubleProblem problem;
    Algorithm algorithm;
    MutationOperator mutation;

    String problemName ;
    if (args.length == 1) {
      problemName = args[0] ;
    } else {
      problemName = "org.uma.jmetal.problem.multiobjective.zdt.ZDT1";
    }

    problem = (DoubleProblem) ProblemUtils.loadProblem(problemName);

    Archive archive = new FastHypervolumeArchive(100, problem.getNumberOfObjectives()) ;

    double mutationProbability = 1.0 / problem.getNumberOfVariables() ;
    double mutationDistributionIndex = 20.0 ;
    mutation = new PolynomialMutation(mutationProbability, mutationDistributionIndex) ;

    algorithm = new SMPSOBuilder(problem, archive)
            .setMutation(mutation)
            .setMaxIterations(250)
            .setSwarmSize(100)
            //.setRandomGenerator(new MersenneTwisterGenerator())
            .setSolutionListEvaluator(new SequentialSolutionListEvaluator())
            .build();

    AlgorithmRunner algorithmRunner = new AlgorithmRunner.Executor(algorithm)
            .execute();

    List population = ((SMPSO)algorithm).getResult();
    long computingTime = algorithmRunner.getComputingTime();

    new SolutionSetOutput.Printer(population)
            .setSeparator("\t")
            .setVarFileOutputContext(new DefaultFileOutputContext("VAR.tsv"))
            .setFunFileOutputContext(new DefaultFileOutputContext("FUN.tsv"))
            .print();

    JMetalLogger.logger.info("Total execution time: " + computingTime + "ms");
    JMetalLogger.logger.info("Objectives values have been written to file FUN.tsv");
    JMetalLogger.logger.info("Variables values have been written to file VAR.tsv");
    JMetalLogger.logger.info("Random seed: " + JMetalRandom.getInstance().getSeed()) ;
  }
}