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package org.uma.jmetal.experiment;

import org.uma.jmetal.algorithm.Algorithm;
import org.uma.jmetal.algorithm.multiobjective.nsgaii.NSGAIIBuilder;
import org.uma.jmetal.algorithm.multiobjective.smpso.SMPSOBuilder;
import org.uma.jmetal.algorithm.multiobjective.spea2.SPEA2Builder;
import org.uma.jmetal.operator.impl.crossover.SBXCrossover;
import org.uma.jmetal.operator.impl.mutation.PolynomialMutation;
import org.uma.jmetal.problem.DoubleProblem;
import org.uma.jmetal.problem.Problem;
import org.uma.jmetal.problem.multiobjective.zdt.ZDT1;
import org.uma.jmetal.problem.multiobjective.zdt.ZDT2;
import org.uma.jmetal.problem.multiobjective.zdt.ZDT3;
import org.uma.jmetal.problem.multiobjective.zdt.ZDT4;
import org.uma.jmetal.problem.multiobjective.zdt.ZDT6;
import org.uma.jmetal.qualityindicator.impl.Epsilon;
import org.uma.jmetal.qualityindicator.impl.GenerationalDistance;
import org.uma.jmetal.qualityindicator.impl.InvertedGenerationalDistance;
import org.uma.jmetal.qualityindicator.impl.InvertedGenerationalDistancePlus;
import org.uma.jmetal.qualityindicator.impl.Spread;
import org.uma.jmetal.qualityindicator.impl.hypervolume.PISAHypervolume;
import org.uma.jmetal.solution.DoubleSolution;
import org.uma.jmetal.util.JMetalException;
import org.uma.jmetal.util.archive.impl.CrowdingDistanceArchive;
import org.uma.jmetal.util.evaluator.impl.SequentialSolutionListEvaluator;
import org.uma.jmetal.util.experiment.Experiment;
import org.uma.jmetal.util.experiment.ExperimentBuilder;
import org.uma.jmetal.util.experiment.component.ComputeQualityIndicators;
import org.uma.jmetal.util.experiment.component.ExecuteAlgorithms;
import org.uma.jmetal.util.experiment.component.GenerateBoxplotsWithR;
import org.uma.jmetal.util.experiment.component.GenerateFriedmanTestTables;
import org.uma.jmetal.util.experiment.component.GenerateLatexTablesWithStatistics;
import org.uma.jmetal.util.experiment.component.GenerateReferenceParetoSetAndFrontFromDoubleSolutions;
import org.uma.jmetal.util.experiment.component.GenerateWilcoxonTestTablesWithR;
import org.uma.jmetal.util.experiment.util.ExperimentAlgorithm;
import org.uma.jmetal.util.experiment.util.ExperimentProblem;

import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;

/**
 * Example of experimental study based on solving the ZDT problems with algorithms NSGAII,
 * SPEA2, and SMPSO
 *
 * This experiment assumes that the reference Pareto front are not known, so the names of files containing
 * them and the directory where they are located must be specified.
 *
 * Six quality indicators are used for performance assessment.
 *
 * The steps to carry out the experiment are:
 * 1. Configure the experiment
 * 2. Execute the algorithms
 * 3. Generate the reference Pareto fronts
 * 4. Compute que quality indicators
 * 5. Generate Latex tables reporting means and medians
 * 6. Generate Latex tables with the result of applying the Wilcoxon Rank Sum Test
 * 7. Generate R scripts to obtain boxplots
 *
 * @author Antonio J. Nebro 
 */
public class ZDTStudy2 {

  private static final int INDEPENDENT_RUNS = 5 ;

  public static void main(String[] args) throws IOException {
    if (args.length != 1) {
      throw new JMetalException("Needed arguments: experimentBaseDirectory") ;
    }
    String experimentBaseDirectory = args[0] ;

    List> problemList = new ArrayList<>();
    problemList.add(new ExperimentProblem<>(new ZDT1()));
    problemList.add(new ExperimentProblem<>(new ZDT2()));
    problemList.add(new ExperimentProblem<>(new ZDT3()));
    problemList.add(new ExperimentProblem<>(new ZDT4()));
    problemList.add(new ExperimentProblem<>(new ZDT6()));

    List>> algorithmList =
            configureAlgorithmList(problemList);

    ExperimentBuilder> zdt2Study = new ExperimentBuilder>("ZDTStudy2");
    zdt2Study.setAlgorithmList(algorithmList);
    zdt2Study.setProblemList(problemList);
    zdt2Study.setExperimentBaseDirectory(experimentBaseDirectory);
    zdt2Study.setOutputParetoFrontFileName("FUN");
    zdt2Study.setOutputParetoSetFileName("VAR");
    zdt2Study.setReferenceFrontDirectory(experimentBaseDirectory + "/ZDTStudy2/referenceFronts");
    zdt2Study.setIndicatorList(Arrays.asList(
            new Epsilon(), new Spread(), new GenerationalDistance(),
            new PISAHypervolume(),
            new InvertedGenerationalDistance(), new InvertedGenerationalDistancePlus()));
    zdt2Study.setIndependentRuns(INDEPENDENT_RUNS);
    zdt2Study.setNumberOfCores(8);
    Experiment> experiment = zdt2Study.build();

    new ExecuteAlgorithms<>(experiment).run();
    new GenerateReferenceParetoSetAndFrontFromDoubleSolutions(experiment).run();
    new ComputeQualityIndicators<>(experiment).run() ;
    new GenerateLatexTablesWithStatistics(experiment).run() ;
    new GenerateWilcoxonTestTablesWithR<>(experiment).run() ;
    new GenerateFriedmanTestTables<>(experiment).run();
    new GenerateBoxplotsWithR<>(experiment).setRows(3).setColumns(3).setDisplayNotch().run() ;
  }

  /**
   * The algorithm list is composed of pairs {@link Algorithm} + {@link Problem} which form part of a
   * {@link TaggedAlgorithm}, which is a decorator for class {@link Algorithm}.
   *
   * @param problemList
   * @return
   */
  /**
   * The algorithm list is composed of pairs {@link Algorithm} + {@link Problem} which form part of a
   * {@link ExperimentAlgorithm}, which is a decorator for class {@link Algorithm}.
   *
   * @param problemList
   * @return
   */
  static List>> configureAlgorithmList(
          List> problemList) {
    List>> algorithms = new ArrayList<>();

    for (int i = 0; i < problemList.size(); i++) {
      double mutationProbability = 1.0 / problemList.get(i).getProblem().getNumberOfVariables();
      double mutationDistributionIndex = 20.0;
      Algorithm> algorithm = new SMPSOBuilder((DoubleProblem) problemList.get(i).getProblem(),
              new CrowdingDistanceArchive(100))
              .setMutation(new PolynomialMutation(mutationProbability, mutationDistributionIndex))
              .setMaxIterations(250)
              .setSwarmSize(100)
              .setSolutionListEvaluator(new SequentialSolutionListEvaluator())
              .build();
      algorithms.add(new ExperimentAlgorithm<>(algorithm, problemList.get(i).getTag()));
    }

    for (int i = 0; i < problemList.size(); i++) {
      Algorithm> algorithm = new NSGAIIBuilder(
              problemList.get(i).getProblem(),
              new SBXCrossover(1.0, 20.0),
              new PolynomialMutation(1.0 / problemList.get(i).getProblem().getNumberOfVariables(), 20.0))
              .build();
      algorithms.add(new ExperimentAlgorithm<>(algorithm, problemList.get(i).getTag()));
    }

    for (int i = 0; i < problemList.size(); i++) {
      Algorithm> algorithm = new SPEA2Builder(
              problemList.get(i).getProblem(),
              new SBXCrossover(1.0, 10.0),
              new PolynomialMutation(1.0 / problemList.get(i).getProblem().getNumberOfVariables(), 20.0))
              .build();
      algorithms.add(new ExperimentAlgorithm<>(algorithm, problemList.get(i).getTag()));
    }

    return algorithms ;
  }
}