org.uma.jmetal.util

Class SolutionUtils

java.lang.Object

org.uma.jmetal.util.SolutionUtils

public class SolutionUtils
extends Object

Created by Antonio J. Nebro on 6/12/14.

Constructor Summary

Constructors

Constructor and Description
SolutionUtils()

Method Summary

Modifier and Type	Method and Description
static <S extends Solution<?>> double	averageDistanceToSolutionList(S solution, List<S> solutionList) Returns the average euclidean distance of a solution to the solutions of a list.
static <S extends Solution<?>> double	distanceBetweenObjectives(S firstSolution, S secondSolution) Returns the euclidean distance between a pair of solutions in the objective space
static double	distanceBetweenSolutionsInObjectiveSpace(DoubleSolution solutionI, DoubleSolution solutionJ) Returns the distance between two solutions in the search space.
static double	distanceToSolutionListInSolutionSpace(DoubleSolution solution, List<DoubleSolution> solutionList) Returns the minimum distance from a Solution to a SolutionSet according to the encodings.variable values.
static <S extends Solution<?>> S	getBestSolution(S solution1, S solution2, Comparator<S> comparator) Return the best solution between those passed as arguments.
static <S extends Solution<?>> S	getBestSolution(S solution1, S solution2, Comparator<S> comparator, BinaryOperator<S> equalityPolicy) Return the best solution between those passed as arguments.
static <S extends Solution<?>> S	getBestSolution(S solution1, S solution2, Comparator<S> comparator, RandomGenerator<Double> randomGenerator) Return the best solution between those passed as arguments.
static Solution<?>	normalize(Solution<?> solution, double[] minValues, double[] maxValues) It returns the normalized solution given the minimum and maximum values for each objective

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

SolutionUtils

public SolutionUtils()

Method Detail

getBestSolution

public static <S extends Solution<?>> S getBestSolution(S solution1,
                                                        S solution2,
                                                        Comparator<S> comparator)

Return the best solution between those passed as arguments. If they are equal or incomparable one of them is chosen randomly.

Returns:

The best solution

getBestSolution

public static <S extends Solution<?>> S getBestSolution(S solution1,
                                                        S solution2,
                                                        Comparator<S> comparator,
                                                        RandomGenerator<Double> randomGenerator)

Return the best solution between those passed as arguments. If they are equal or incomparable one of them is chosen randomly.

Parameters:

randomGenerator - RandomGenerator for the equality case

Returns:

The best solution

getBestSolution

public static <S extends Solution<?>> S getBestSolution(S solution1,
                                                        S solution2,
                                                        Comparator<S> comparator,
                                                        BinaryOperator<S> equalityPolicy)

Return the best solution between those passed as arguments. If they are equal or incomparable one of them is chosen based on the given policy.

Returns:

The best solution

distanceBetweenObjectives

public static <S extends Solution<?>> double distanceBetweenObjectives(S firstSolution,
                                                                       S secondSolution)

Returns the euclidean distance between a pair of solutions in the objective space

distanceToSolutionListInSolutionSpace

public static double distanceToSolutionListInSolutionSpace(DoubleSolution solution,
                                                           List<DoubleSolution> solutionList)

Returns the minimum distance from a Solution to a SolutionSet according to the encodings.variable values.

Parameters:

solution - The Solution.

solutionList - The List.

Returns:

The minimum distance between solution and the set.

distanceBetweenSolutionsInObjectiveSpace

public static double distanceBetweenSolutionsInObjectiveSpace(DoubleSolution solutionI,
                                                              DoubleSolution solutionJ)

Returns the distance between two solutions in the search space.

Parameters:

solutionI - The first Solution.

solutionJ - The second Solution.

Returns:

the distance between solutions.

averageDistanceToSolutionList

public static <S extends Solution<?>> double averageDistanceToSolutionList(S solution,
                                                                           List<S> solutionList)

Returns the average euclidean distance of a solution to the solutions of a list.

normalize

public static Solution<?> normalize(Solution<?> solution,
                                    double[] minValues,
                                    double[] maxValues)

It returns the normalized solution given the minimum and maximum values for each objective

Parameters:

solution - to be normalized

minValues - minimum values for each objective

maxValues - maximum value for each objective

Returns:

normalized solution