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package org.uma.jmetal.runner.multiobjective;

import org.uma.jmetal.algorithm.Algorithm;
import org.uma.jmetal.algorithm.multiobjective.mocell.MOCellBuilder;
import org.uma.jmetal.operator.CrossoverOperator;
import org.uma.jmetal.operator.MutationOperator;
import org.uma.jmetal.operator.SelectionOperator;
import org.uma.jmetal.operator.impl.crossover.SBXCrossover;
import org.uma.jmetal.operator.impl.mutation.PolynomialMutation;
import org.uma.jmetal.operator.impl.selection.BinaryTournamentSelection;
import org.uma.jmetal.problem.Problem;
import org.uma.jmetal.solution.DoubleSolution;
import org.uma.jmetal.util.AlgorithmRunner;
import org.uma.jmetal.util.JMetalException;
import org.uma.jmetal.util.JMetalLogger;
import org.uma.jmetal.util.ProblemUtils;
import org.uma.jmetal.util.comparator.RankingAndCrowdingDistanceComparator;
import org.uma.jmetal.util.fileoutput.SolutionSetOutput;
import org.uma.jmetal.util.fileoutput.impl.DefaultFileOutputContext;
import org.uma.jmetal.util.neighborhood.impl.L5;

import java.util.List;

/**
 * Class to configure and run the MOCell algorithm. Copied from the NSGAII Runner Class
 *
 * @author juanjo
 */
public class MOCellRunner {
  /**
   * @param args Command line arguments.
   * @throws java.io.IOException
   * @throws SecurityException
   * @throws ClassNotFoundException
   * Usage: two options
   *        - org.uma.jmetal.runner.multiobjective.NSGAIIRunner
   *        - org.uma.jmetal.runner.multiobjective.NSGAIIRunner problemName
   */
  public static void main(String[] args) throws JMetalException {
    Problem problem;
    Algorithm> algorithm;
    CrossoverOperator crossover;
    MutationOperator mutation;
    SelectionOperator, DoubleSolution> selection;

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

    problem = ProblemUtils.loadProblem(problemName);

    double crossoverProbability = 0.9 ;
    double crossoverDistributionIndex = 20.0 ;
    crossover = new SBXCrossover(crossoverProbability, crossoverDistributionIndex) ;

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

    selection = new BinaryTournamentSelection(new RankingAndCrowdingDistanceComparator());

    algorithm = new MOCellBuilder<>(problem, crossover, mutation)
        .setSelectionOperator(selection)
        .setMaxEvaluations(25000)
        .setPopulationSize(100)
        .setArchiveSize(100)
        .setNeighborhood(new L5(10, 10))
        .build() ;

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

    List population = 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");
  }
}