Package 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	Description
SolutionUtils()

Method Summary

Modifier and Type	Method	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 <S extends Solution<?>> S	normalize(S solution, double[] minValues, double[] maxValues)	It returns the normalized solution given the minimum and maximum values for each objective
static <S extends Solution<?>> double	normalizedDistanceBetweenObjectives(S firstSolution, S secondSolution, double[] maxs, double[] mins)

Methods inherited from class java.lang.Object

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

Constructor Details

SolutionUtils

public SolutionUtils()

Method Details

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

normalizedDistanceBetweenObjectives

public static <S extends Solution<?>> double normalizedDistanceBetweenObjectives(S firstSolution,
 S secondSolution,
 double[] maxs,
 double[] mins)

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 Listinvalid input: '<'/>.

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 <S extends Solution<?>> S normalize(S 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