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package org.uma.jmetal.runner.multiobjective;

import org.uma.jmetal.algorithm.Algorithm;
import org.uma.jmetal.algorithm.multiobjective.abyss.ABYSS;
import org.uma.jmetal.algorithm.multiobjective.abyss.ABYSSBuilder;
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.CrowdingDistanceArchive;
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 is the main program used to configure and run AbYSS, a
 * multiobjective scatter search metaheuristics, which is described in:
 *   A.J. Nebro, F. Luna, E. Alba, B. Dorronsoro, J.J. Durillo, A. Beham
 *   "AbYSS: Adapting Scatter Search to Multiobjective Optimization."
 *   IEEE Transactions on Evolutionary Computation. Vol. 12,
 *   No. 4 (August 2008), pp. 439-457
 */
public class ABYSSRunner {

  /**
   * @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;
    String problemName ;
    if (args!=null && args.length == 1) {
      problemName = args[0] ;
    } else {
      problemName = "org.uma.jmetal.problem.multiobjective.zdt.ZDT4";
    }

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

    Archive archive = new CrowdingDistanceArchive(100) ;

    algorithm = new ABYSSBuilder(problem, archive)
        .setMaxEvaluations(25000)
        .build();

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

    List population = (List)((ABYSS)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()) ;
  }
}