@Override
protected List<S> evaluatePopulation(List<S> population) {
for (int i = 0; i < population.size(); i++) {
problem.evaluate(population.get(i));
}
return population;
}
@Override
protected List<S> createInitialPopulation() {
List<S> population = new ArrayList<>(populationSize);
for (int i = 0; i < populationSize; i++) {
S newIndividual = problem.createSolution();
population.add(newIndividual);
}
return population;
}
/**
* Fills a population with new solutions until its size is maxListSize
*
* @param solutionList The list of solutions
* @param problem The problem being solved
* @param maxListSize The target size of the list
* @param <S> The type of the solutions to be created
*/
public static <S extends Solution<?>> void fillPopulationWithNewSolutions(
List<S> solutionList, Problem<S> problem, int maxListSize) {
while (solutionList.size() < maxListSize) {
solutionList.add(problem.createSolution());
}
}
public static void singleRun(String pro, String referencePareto) {
Problem<DoubleSolution> problem;
Algorithm<List<DoubleSolution>> algorithm;
CrossoverOperator<DoubleSolution> crossover;
MutationOperator<DoubleSolution> mutation;
SelectionOperator<List<DoubleSolution>, DoubleSolution> selection;
String referenceParetoFront = "";
String problemName;
if (!pro.isEmpty()
&& !referencePareto.isEmpty()
&& pro.trim() != null
&& referencePareto.trim() != null) {
problemName = pro;
referenceParetoFront = referencePareto;
} else {
problemName = "problem.multiobjective.zdt.ZDT1";
referenceParetoFront = "problem/src/test/resources/pareto_fronts/ZDT1.pf";
}
problem = ProblemUtils.<DoubleSolution>loadProblem(problemName);
int iterations;
String mobi;
if (problem.getNumberOfObjectives() == 2) {
iterations = 300;
mobi = "mombi2-weights/weight/weight_02D_152.sld";
} else {
iterations = 500;
mobi = "mombi2-weights/weight/weight_03D_12.sld";
}
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<DoubleSolution>(
new RankingAndCrowdingDistanceComparator<DoubleSolution>());
algorithm =
new MOMBI2<>(
problem,
iterations,
crossover,
mutation,
selection,
new SequentialSolutionListEvaluator<DoubleSolution>(),
mobi);
AlgorithmRunner algorithmRunner = new AlgorithmRunner.Executor(algorithm).execute();
List<DoubleSolution> population = algorithm.getResult();
long computingTime = algorithmRunner.getComputingTime();
JMetalLogger.logger.info("Total execution time: " + computingTime + "ms");
printFinalSolutionSet(population);
if (!referenceParetoFront.equals("")) {
printQualityIndicators(population, referenceParetoFront);
}
}