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, 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].

Parameters:

problem - the problem

population - the population defining the minimum and maximum bounds

Throws:

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

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