Package org.moeaframework.analysis

Class FeasibilityRatio

java.lang.Object

org.moeaframework.analysis.FeasibilityRatio

public class FeasibilityRatio
extends Object

Computes the feasibility ratio of a given problem, which takes a random sampling of solutions and computes the percentage that are feasible.

References:

1. R. Tanabe and A. Oyama. "A note on constrained multi-objective optimization benchmark problems." 2017 IEEE Congress on Evolutionary Computation (CEC), Donostia, Spain, 2017, pp. 1127-1134.

Constructor Summary

Constructors

Constructor	Description
FeasibilityRatio(int samples)	Constructs the class to compute the feasibility ratio.

Method Summary

Modifier and Type	Method	Description
double	calculate(Problem problem)	Calculates the feasibility ratio of the given problem.
static double	calculate(Problem problem, int samples)	Calculates the feasibility ratio of the given problem.

Methods inherited from class java.lang.Object

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

Constructor Details

FeasibilityRatio

public FeasibilityRatio(int samples)

Constructs the class to compute the feasibility ratio.

Parameters:

samples - the number of random samples

Method Details

calculate

public double calculate(Problem problem)

Calculates the feasibility ratio of the given problem.

Parameters:

problem - the problem

Returns:

the feasibility ratio

calculate

public static double calculate(Problem problem,
 int samples)

Calculates the feasibility ratio of the given problem.

Parameters:

problem - the problem

samples - the number of random samples

Returns:

the feasibility ratio