moeoIBEASorting< EOT, Fitness > Class Template Reference

Functor The sorting phase of IBEA (Indicator-Based Evolutionary Algorithm) without uncertainty Adapted from the Zitzler and Künzli paper "Indicator-Based Selection in Multiobjective Search" (2004) Of course, Fitness needs to be an eoParetoFitness object. More...

#include <moeoIBEA.h>

Inheritance diagram for moeoIBEASorting< EOT, Fitness >:

List of all members.

Public Member Functions
	moeoIBEASorting (moeoBinaryQualityIndicator< Fitness > *_I, const double _kappa)
	constructor
Private Member Functions
void	setBounds (const eoPop< EOT > &_pop)
	computation and setting of the bounds for each objective
void	fitnesses (const eoPop< EOT > &_pop)
	computation and setting of the fitness for each individual of the population
Private Attributes
double	kappa
	scaling factor kappa

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Detailed Description

template<class EOT, class Fitness = typename EOT::Fitness>
class moeoIBEASorting< EOT, Fitness >

Functor The sorting phase of IBEA (Indicator-Based Evolutionary Algorithm) without uncertainty Adapted from the Zitzler and Künzli paper "Indicator-Based Selection in Multiobjective Search" (2004) Of course, Fitness needs to be an eoParetoFitness object.

Definition at line 84 of file moeoIBEA.h.

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Constructor & Destructor Documentation

template<class EOT, class Fitness = typename EOT::Fitness>

moeoIBEASorting< EOT, Fitness >::moeoIBEASorting	(	moeoBinaryQualityIndicator< Fitness > *	_I,
		const double	_kappa
	)			[inline]

constructor

Parameters:

	eoBinaryQualityIndicator<EOT>*	_I the binary quality indicator to use in the selection process
	double	_kappa scaling factor kappa

Definition at line 96 of file moeoIBEA.h.

References moeoIBEASorting< EOT, Fitness >::kappa.

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Member Function Documentation

template<class EOT, class Fitness = typename EOT::Fitness>

void moeoIBEASorting< EOT, Fitness >::setBounds

(

const eoPop< EOT > &

_pop

)

[inline, private, virtual]

computation and setting of the bounds for each objective

Parameters:

const

eoPop<EOT>& _pop the population

Implements moeoIBEA< EOT, Fitness >.

Definition at line 121 of file moeoIBEA.h.

References moeoIBEA< EOT, Fitness >::I, and moeoBinaryQualityIndicator< EOFitness >::setBounds().

template<class EOT, class Fitness = typename EOT::Fitness>

void moeoIBEASorting< EOT, Fitness >::fitnesses

(

const eoPop< EOT > &

_pop

)

[inline, private, virtual]

computation and setting of the fitness for each individual of the population

Parameters:

const

eoPop<EOT>& _pop the population

Implements moeoIBEA< EOT, Fitness >.

Definition at line 150 of file moeoIBEA.h.

References moeoIBEASorting< EOT, Fitness >::kappa, and eoValueParam< std::vector< WorthT > >::value().

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

• moeoIBEA.h

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