/**
* Returns a new {@link SMPSO} instance.
*
* @param properties the properties for customizing the new {@code SMPSO} instance
* @param problem the problem
* @return a new {@code SMPSO} instance
*/
private Algorithm newSMPSO(TypedProperties properties, Problem problem) {
if (!checkType(RealVariable.class, problem)) {
throw new FrameworkException("unsupported decision variable type");
}
int populationSize = (int) properties.getDouble("populationSize", 100);
int archiveSize = (int) properties.getDouble("archiveSize", 100);
double mutationProbability =
properties.getDouble("pm.rate", 1.0 / problem.getNumberOfVariables());
double distributionIndex = properties.getDouble("pm.distributionIndex", 20.0);
return new SMPSO(problem, populationSize, archiveSize, mutationProbability, distributionIndex);
}
/**
* Returns a new {@link OMOPSO} instance.
*
* @param properties the properties for customizing the new {@code OMOPSO} instance
* @param problem the problem
* @return a new {@code OMOPSO} instance
*/
private Algorithm newOMOPSO(TypedProperties properties, Problem problem) {
if (!checkType(RealVariable.class, problem)) {
throw new FrameworkException("unsupported decision variable type");
}
int populationSize = (int) properties.getDouble("populationSize", 100);
int archiveSize = (int) properties.getDouble("archiveSize", 100);
int maxIterations = (int) properties.getDouble("maxEvaluations", 25000) / populationSize;
double mutationProbability =
properties.getDouble("mutationProbability", 1.0 / problem.getNumberOfVariables());
double perturbationIndex = properties.getDouble("perturbationIndex", 0.5);
double[] epsilon =
properties.getDoubleArray("epsilon", new double[] {EpsilonHelper.getEpsilon(problem)});
return new OMOPSO(
problem,
populationSize,
archiveSize,
epsilon,
mutationProbability,
perturbationIndex,
maxIterations);
}
