moeoNSGAII< MOEOT > Class Template Reference

The NSGA-II algorithm as described in: Deb, K., S. More...

#include <moeoNSGAII.h>

Inheritance diagram for moeoNSGAII< MOEOT >:

List of all members.

Public Member Functions
	moeoNSGAII (unsigned _max_gen, eoEvalFunc< MOEOT > &_eval, eoGenOp< MOEOT > &_op)
	This constructor builds the algorithm as descibed in the paper.
	moeoNSGAII (unsigned _max_gen, eoEvalFunc< MOEOT > &_eval, eoQuadOp< MOEOT > &_crossover, double _pCross, eoMonOp< MOEOT > &_mutation, double _pMut)
	Ctor taking _max_gen, crossover and mutation.
	moeoNSGAII (eoContinue< MOEOT > &_continuator, eoEvalFunc< MOEOT > &_eval, eoGenOp< MOEOT > &_op)
	Ctor taking a continuator instead of _gen_max.
virtual void	operator() (eoPop< MOEOT > &_pop)
	Apply a few generation of evolution to the population _pop.
Protected Attributes
eoContinue< MOEOT > &	continuator
	stopping criteria
eoEvalFunc< MOEOT > &	eval
	evaluation function
eoPopLoopEval< MOEOT >	loopEval
	to evaluate the whole population
eoPopEvalFunc< MOEOT > &	popEval
	to evaluate the whole population
moeoDetTournamentSelect< MOEOT >	select
	binary tournament selection
moeoElitistReplacement< MOEOT >	replace
	elitist replacement
eoGeneralBreeder< MOEOT >	genBreed
	general breeder
eoBreed< MOEOT > &	breed
	breeder
moeoFastNonDominatedSortingFitnessAssignment< MOEOT >	fitnessAssignment
	fitness assignment used in NSGA-II
moeoCrowdingDistanceDiversityAssignment< MOEOT >	diversityAssignment
	Diversity assignment used in NSGA-II.

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Detailed Description

template<class MOEOT>
class moeoNSGAII< MOEOT >

The NSGA-II algorithm as described in: Deb, K., S.

Agrawal, A. Pratap, and T. Meyarivan : "A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II". In IEEE Transactions on Evolutionary Computation, Vol. 6, No 2, pp 182-197 (April 2002). This class builds the NSGA-II algorithm only by using the components of the ParadisEO-MOEO framework.

Definition at line 36 of file moeoNSGAII.h.

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Constructor & Destructor Documentation

template<class MOEOT>

moeoNSGAII< MOEOT >::moeoNSGAII	(	unsigned	_max_gen,
		eoEvalFunc< MOEOT > &	_eval,
		eoGenOp< MOEOT > &	_op
	)			[inline]

This constructor builds the algorithm as descibed in the paper.

Parameters:

	_max_gen	number of generations before stopping
	_eval	evaluation function
	_op	variation operator

Definition at line 46 of file moeoNSGAII.h.

template<class MOEOT>

moeoNSGAII< MOEOT >::moeoNSGAII	(	unsigned	_max_gen,
		eoEvalFunc< MOEOT > &	_eval,
		eoQuadOp< MOEOT > &	_crossover,
		double	_pCross,
		eoMonOp< MOEOT > &	_mutation,
		double	_pMut
	)			[inline]

Ctor taking _max_gen, crossover and mutation.

Parameters:

	_max_gen	number of generations before stopping
	_eval	evaluation function
	_crossover	crossover
	_pCross	crossover probability
	_mutation	mutation
	_pMut	mutation probability

Definition at line 61 of file moeoNSGAII.h.

template<class MOEOT>

moeoNSGAII< MOEOT >::moeoNSGAII	(	eoContinue< MOEOT > &	_continuator,
		eoEvalFunc< MOEOT > &	_eval,
		eoGenOp< MOEOT > &	_op
	)			[inline]

Ctor taking a continuator instead of _gen_max.

Parameters:

	_continuator	stopping criteria
	_eval	evaluation function
	_op	variation operator

Definition at line 73 of file moeoNSGAII.h.

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Member Function Documentation

template<class MOEOT>

virtual void moeoNSGAII< MOEOT >::operator()

(

eoPop< MOEOT > &

_pop

)

[inline, virtual]

Apply a few generation of evolution to the population _pop.

Parameters:

_pop

the population

Implements eoUF< eoPop< MOEOT > &, void >.

Definition at line 83 of file moeoNSGAII.h.

References moeoNSGAII< MOEOT >::breed, moeoNSGAII< MOEOT >::continuator, moeoNSGAII< MOEOT >::diversityAssignment, moeoNSGAII< MOEOT >::fitnessAssignment, moeoNSGAII< MOEOT >::popEval, and moeoNSGAII< MOEOT >::replace.

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The documentation for this class was generated from the following file:

• moeoNSGAII.h

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