moeoIBEAStochSorting< EOT, FitnessEval > Class Template Reference

Functor The sorting phase of IBEA (Indicator-Based Evolutionary Algorithm) under uncertainty Adapted from the Basseur and Zitzler paper "Handling Uncertainty in Indicator-Based Multiobjective Optimization" (2006) Of course, the fitness of an individual needs to be an eoStochasticParetoFitness object. More...

#include <moeoIBEA.h>

Inheritance diagram for moeoIBEAStochSorting< EOT, FitnessEval >:

List of all members.

Public Member Functions
	moeoIBEAStochSorting (moeoBinaryQualityIndicator< FitnessEval > *_I)
	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
Static Private Member Functions
static double	zero ()
	approximated zero value

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Detailed Description

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

Functor The sorting phase of IBEA (Indicator-Based Evolutionary Algorithm) under uncertainty Adapted from the Basseur and Zitzler paper "Handling Uncertainty in Indicator-Based Multiobjective Optimization" (2006) Of course, the fitness of an individual needs to be an eoStochasticParetoFitness object.

Definition at line 203 of file moeoIBEA.h.

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Constructor & Destructor Documentation

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

moeoIBEAStochSorting< EOT, FitnessEval >::moeoIBEAStochSorting

(

moeoBinaryQualityIndicator< FitnessEval > *

_I

)

[inline]

constructor

Parameters:

eoBinaryQualityIndicator<EOT>*

_I the binary quality indicator to use in the selection process

Definition at line 214 of file moeoIBEA.h.

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Member Function Documentation

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

void moeoIBEAStochSorting< EOT, FitnessEval >::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, FitnessEval >.

Definition at line 243 of file moeoIBEA.h.

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

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

void moeoIBEAStochSorting< EOT, FitnessEval >::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, FitnessEval >.

Definition at line 272 of file moeoIBEA.h.

References eoValueParam< std::vector< WorthT > >::value(), and moeoIBEAStochSorting< EOT, FitnessEval >::zero().

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

• moeoIBEA.h

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