org.moeaframework.core.indicator
Class Normalizer

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

public class Normalizer
extends Object

Normalizes populations so that all objectives reside in the range [0, 1]. This normalization ignores infeasible solutions, so the resulting normalized population contains no infeasible solutions. A reference set should be used to ensure the normalization is uniformly applied.

Constructor Summary

Normalizer(Problem problem, double[] minimum, double[] maximum)
Constructs a normalizer for normalizing population so that all objectives reside in the range [0, 1].

Normalizer(Problem problem, Population population)
Constructs a normalizer for normalizing populations so that all objectives reside in the range [0, 1].

Method Summary

NondominatedPopulation	normalize(NondominatedPopulation population) Returns a new non-dominated population containing the normalized solutions from the specified population.
Population	normalize(Population population) Returns a new population containing the normalized solutions from the specified population.

Methods inherited from class java.lang.Object

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

Constructor Detail

Normalizer

public Normalizer(Problem problem,
                  Population population)

Constructs a normalizer for normalizing populations so that all objectives reside in the range [0, 1]. This constructor derives the minimum and maximum bounds from the given population.

Parameters:

problem - the problem

population - the population defining the minimum and maximum bounds

Throws:

IllegalArgumentException - if the population set contains fewer than two solutions, or if there exists an objective with an empty range

Normalizer

public Normalizer(Problem problem,
                  double[] minimum,
                  double[] maximum)

Constructs a normalizer for normalizing population so that all objectives reside in the range [0, 1]. This constructor allows defining the minimum and maximum bounds explicitly.

Parameters:

problem - the problem

minimum - the minimum bounds of each objective

maximum - the maximum bounds of each objective

Method Detail

normalize

public NondominatedPopulation normalize(NondominatedPopulation population)

Returns a new non-dominated population containing the normalized solutions from the specified population.

Parameters:

population - the population

Returns:

a new non-dominated population containing the normalized solutions from the specified population

normalize

public Population normalize(Population population)

Returns a new population containing the normalized solutions from the specified population.

Parameters:

population - the population

Returns:

a new population containing the normalized solutions from the specified population