moeoIteratedIBMOLS< MOEOT, Move > Class Template Reference

Iterated version of IBMOLS as described in Basseur M., Burke K. More...

#include <moeoIteratedIBMOLS.h>

Inheritance diagram for moeoIteratedIBMOLS< MOEOT, Move >:

List of all members.

Public Types
typedef MOEOT::ObjectiveVector	ObjectiveVector
	The type of objective vector.
Public Member Functions
	moeoIteratedIBMOLS (moMoveInit< Move > &_moveInit, moNextMove< Move > &_nextMove, eoEvalFunc< MOEOT > &_eval, moeoMoveIncrEval< Move > &_moveIncrEval, moeoIndicatorBasedFitnessAssignment< MOEOT > &_fitnessAssignment, eoContinue< MOEOT > &_continuator, eoMonOp< MOEOT > &_monOp, eoMonOp< MOEOT > &_randomMonOp, unsigned int _nNoiseIterations=1)
	Ctor.
void	operator() (eoPop< MOEOT > &_pop, moeoArchive< MOEOT > &_arch)
	Apply the local search iteratively until the stopping criteria is met.
Private Member Functions
void	generateNewSolutions (eoPop< MOEOT > &_pop, const moeoArchive< MOEOT > &_arch)
	Creates new population randomly initialized and/or initialized from the archive _arch.
Private Attributes
moeoIBMOLS< MOEOT, Move >	ibmols
	the local search to iterate
eoEvalFunc< MOEOT > &	eval
	the full evaluation
eoContinue< MOEOT > &	continuator
	the stopping criteria
eoMonOp< MOEOT > &	monOp
	the monary operator
eoMonOp< MOEOT > &	randomMonOp
	the random monary operator (or random initializer)
unsigned int	nNoiseIterations
	the number of iterations to apply the random noise

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Detailed Description

template<class MOEOT, class Move>
class moeoIteratedIBMOLS< MOEOT, Move >

Iterated version of IBMOLS as described in Basseur M., Burke K.

: "Indicator-Based Multi-Objective Local Search" (2007).

Definition at line 41 of file moeoIteratedIBMOLS.h.

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Constructor & Destructor Documentation

template<class MOEOT, class Move>

moeoIteratedIBMOLS< MOEOT, Move >::moeoIteratedIBMOLS	(	moMoveInit< Move > &	_moveInit,
		moNextMove< Move > &	_nextMove,
		eoEvalFunc< MOEOT > &	_eval,
		moeoMoveIncrEval< Move > &	_moveIncrEval,
		moeoIndicatorBasedFitnessAssignment< MOEOT > &	_fitnessAssignment,
		eoContinue< MOEOT > &	_continuator,
		eoMonOp< MOEOT > &	_monOp,
		eoMonOp< MOEOT > &	_randomMonOp,
		unsigned int	_nNoiseIterations = 1
	)			[inline]

Ctor.

Parameters:

	_moveInit	the move initializer
	_nextMove	the neighborhood explorer
	_eval	the full evaluation
	_moveIncrEval	the incremental evaluation
	_fitnessAssignment	the fitness assignment strategy
	_continuator	the stopping criteria
	_monOp	the monary operator
	_randomMonOp	the random monary operator (or random initializer)
	_nNoiseIterations	the number of iterations to apply the random noise

Definition at line 61 of file moeoIteratedIBMOLS.h.

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Member Function Documentation

template<class MOEOT, class Move>

void moeoIteratedIBMOLS< MOEOT, Move >::operator()	(	eoPop< MOEOT > &	_pop,
		moeoArchive< MOEOT > &	_arch
	)			[inline, virtual]

Apply the local search iteratively until the stopping criteria is met.

Parameters:

	_pop	the initial population
	_arch	the (updated) archive

Implements eoBF< eoPop< MOEOT > &, moeoArchive< MOEOT > &, void >.

Definition at line 86 of file moeoIteratedIBMOLS.h.

References moeoIteratedIBMOLS< MOEOT, Move >::continuator, moeoIteratedIBMOLS< MOEOT, Move >::generateNewSolutions(), moeoIteratedIBMOLS< MOEOT, Move >::ibmols, and moeoArchive< MOEOT >::update().

template<class MOEOT, class Move>

void moeoIteratedIBMOLS< MOEOT, Move >::generateNewSolutions	(	eoPop< MOEOT > &	_pop,
		const moeoArchive< MOEOT > &	_arch
	)			[inline, private]

Creates new population randomly initialized and/or initialized from the archive _arch.

Parameters:

	_pop	the output population
	_arch	the archive

Definition at line 121 of file moeoIteratedIBMOLS.h.

References moeoIteratedIBMOLS< MOEOT, Move >::eval, eoPop< EOT >::invalidate(), moeoIteratedIBMOLS< MOEOT, Move >::monOp, moeoIteratedIBMOLS< MOEOT, Move >::nNoiseIterations, and moeoIteratedIBMOLS< MOEOT, Move >::randomMonOp.

Referenced by moeoIteratedIBMOLS< MOEOT, Move >::operator()().

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

• moeoIteratedIBMOLS.h

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