ec.multiobjective.spea2
Class SPEA2Evaluator

java.lang.Object
  ec.Evaluator
      ec.simple.SimpleEvaluator
          ec.multiobjective.spea2.SPEA2Evaluator

All Implemented Interfaces:

Setup, Singleton, java.io.Serializable

public class SPEA2Evaluator
extends SimpleEvaluator

This subclass of SimpleEvaluator evaluates the population, then computes auxiliary fitness data of each subpopulation.

See Also:

Serialized Form

Field Summary

Fields inherited from class ec.Evaluator

P_IAMSLAVE, P_MASTERPROBLEM, p_problem, P_PROBLEM

Constructor Summary

SPEA2Evaluator()

Method Summary

double[][]	calculateDistances(EvolutionState state, Individual[] inds) Returns a matrix of sum squared distances from each individual to each other individual.
void	computeAuxiliaryData(EvolutionState state, Individual[] inds) Computes the strength of individuals, then the raw fitness (wimpiness) and kth-closest sparsity measure.
void	evaluatePopulation(EvolutionState state) A simple evaluator that doesn't do any coevolutionary evaluation.

Methods inherited from class ec.simple.SimpleEvaluator

evalPopChunk, runComplete, setup

Methods inherited from class ec.Evaluator

closeContacts, initializeContacts, reinitializeContacts

Methods inherited from class java.lang.Object

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

Constructor Detail

SPEA2Evaluator

public SPEA2Evaluator()

Method Detail

evaluatePopulation

public void evaluatePopulation(EvolutionState state)

Description copied from class: SimpleEvaluator

A simple evaluator that doesn't do any coevolutionary evaluation. Basically it applies evaluation pipelines, one per thread, to various subchunks of a new population.

Overrides:

evaluatePopulation in class SimpleEvaluator

computeAuxiliaryData

public void computeAuxiliaryData(EvolutionState state,
                                 Individual[] inds)

Computes the strength of individuals, then the raw fitness (wimpiness) and kth-closest sparsity measure. Finally, computes the final fitness of the individuals.

calculateDistances

public double[][] calculateDistances(EvolutionState state,
                                     Individual[] inds)

Returns a matrix of sum squared distances from each individual to each other individual.