org.moeaframework.core.indicator
Class IndicatorUtils

java.lang.Object
  org.moeaframework.core.indicator.IndicatorUtils

public class IndicatorUtils
extends Object

Collection of methods shared by indicators.

Method Summary

static double	distanceToNearestSolution(Problem problem, Solution solution, NondominatedPopulation population) Returns the Euclidean distance in objective space between the specified solution and the nearest solution in the population.
static double	euclideanDistance(Problem problem, Solution a, Solution b) Returns the Euclidean distance in objective space between the two solutions.
static double	manhattanDistance(Problem problem, Solution a, Solution b) Returns the Manhattan distance in objective space between the two solutions.

Methods inherited from class java.lang.Object

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

Method Detail

manhattanDistance

public static double manhattanDistance(Problem problem,
                                       Solution a,
                                       Solution b)

Returns the Manhattan distance in objective space between the two solutions.

Parameters:

problem - the problem

a - the first solution

b - the second solution

Returns:

the Manhattan distance in objective space between the two solutions

euclideanDistance

public static double euclideanDistance(Problem problem,
                                       Solution a,
                                       Solution b)

Returns the Euclidean distance in objective space between the two solutions.

Parameters:

problem - the problem

a - the first solution

b - the second solution

Returns:

the Euclidean distance in objective space between the two solutions

distanceToNearestSolution

public static double distanceToNearestSolution(Problem problem,
                                               Solution solution,
                                               NondominatedPopulation population)

Returns the Euclidean distance in objective space between the specified solution and the nearest solution in the population.

Parameters:

problem - the problem

solution - the solution

population - the population

Returns:

the Euclidean distance in objective space between the specified solution and the nearest solution in the population