0693358307
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@582 331e1502-861f-0410-8da2-ba01fb791d7f
137 lines
4.4 KiB
Groff
137 lines
4.4 KiB
Groff
.TH "moSteadyFitSolContinue" 3 "31 Jul 2007" "Version 0.1" "PARADISEO-MO" \" -*- nroff -*-
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.ad l
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.nh
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.SH NAME
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moSteadyFitSolContinue \- One possible stopping criterion for a solution-based heuristic.
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.PP
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.SH SYNOPSIS
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.br
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.PP
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\fC#include <moSteadyFitSolContinue.h>\fP
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.PP
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Inherits \fBmoSolContinue< EOT >< EOT >\fP.
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.PP
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.SS "Public Types"
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.in +1c
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.ti -1c
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.RI "typedef EOT::Fitness \fBFitness\fP"
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.br
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.RI "\fIAlias for the fitness. \fP"
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.in -1c
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.SS "Public Member Functions"
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.in +1c
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.ti -1c
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.RI "\fBmoSteadyFitSolContinue\fP (unsigned int __maxNumberOfIterations, unsigned int __maxNumberOfIterationWithoutImprovment, bool __maximization=true)"
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.br
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.RI "\fIBasic constructor. \fP"
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.ti -1c
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.RI "bool \fBoperator()\fP (const EOT &__sol)"
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.br
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.RI "\fIFunction that activates the stopping criterion. \fP"
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.ti -1c
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.RI "void \fBinit\fP ()"
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.br
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.RI "\fIProcedure which allows to initialise the stuff needed. \fP"
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.in -1c
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.SS "Private Attributes"
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.in +1c
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.ti -1c
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.RI "unsigned int \fBmaxNumberOfIterations\fP"
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.br
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.RI "\fIMaximum number of iterations before considering the fitness. \fP"
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.ti -1c
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.RI "unsigned int \fBmaxNumberOfIterationsWithoutImprovment\fP"
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.br
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.RI "\fIMaximum number of iterations without improvment allowed. \fP"
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.ti -1c
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.RI "bool \fBmaxNumberOfIterationsReached\fP"
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.br
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.RI "\fIFlag that indicates that the maxNumberIteration have been reached. \fP"
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.ti -1c
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.RI "bool \fBfirstFitnessSaved\fP"
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.br
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.RI "\fIFlag that this is the first time that the fitness is used. \fP"
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.ti -1c
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.RI "\fBFitness\fP \fBfitness\fP"
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.br
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.RI "\fICurrent Fitness. \fP"
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.ti -1c
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.RI "bool \fBmaximization\fP"
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.br
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.RI "\fIFlag that indicate if there is a maximization (true) or a minimization (false) of the fitness value. \fP"
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.ti -1c
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.RI "unsigned int \fBcounter\fP"
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.br
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.RI "\fIThe iteration couter. \fP"
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.in -1c
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.SH "Detailed Description"
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.PP
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.SS "template<class EOT> class moSteadyFitSolContinue< EOT >"
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One possible stopping criterion for a solution-based heuristic.
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The stop criterion corresponds to a maximum number of iterations without improvement (after a minimum number of iterations).
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.PP
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Definition at line 21 of file moSteadyFitSolContinue.h.
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.SH "Constructor & Destructor Documentation"
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.PP
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.SS "template<class EOT> \fBmoSteadyFitSolContinue\fP< EOT >::\fBmoSteadyFitSolContinue\fP (unsigned int __maxNumberOfIterations, unsigned int __maxNumberOfIterationWithoutImprovment, bool __maximization = \fCtrue\fP)\fC [inline]\fP"
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.PP
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Basic constructor.
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.PP
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\fBParameters:\fP
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.RS 4
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\fI__maxNumberOfIterations\fP The number of iterations to reach before looking for the fitness.
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.br
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\fI__maxNumberOfIterationWithoutImprovment\fP The number of iterations without fitness improvment to reach for stop.
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.br
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\fI__maximization\fP Indicate if the the aim is to maximize or minimize the fitness.
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.RE
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.PP
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.PP
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Definition at line 35 of file moSteadyFitSolContinue.h.
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.SH "Member Function Documentation"
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.PP
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.SS "template<class EOT> bool \fBmoSteadyFitSolContinue\fP< EOT >::operator() (const EOT & __sol)\fC [inline, virtual]\fP"
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.PP
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Function that activates the stopping criterion.
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.PP
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Indicates if the fitness has not been improved since a number of iterations (after a minimum of iterations).
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.PP
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\fBParameters:\fP
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.RS 4
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\fI__sol\fP the current solution.
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.RE
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.PP
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\fBReturns:\fP
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.RS 4
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true or false.
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.RE
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.PP
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.PP
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Implements \fBeoUF< const EOT &, bool >\fP.
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.PP
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Definition at line 47 of file moSteadyFitSolContinue.h.
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.PP
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References moSteadyFitSolContinue< EOT >::counter, moSteadyFitSolContinue< EOT >::firstFitnessSaved, moSteadyFitSolContinue< EOT >::fitness, moSteadyFitSolContinue< EOT >::maximization, moSteadyFitSolContinue< EOT >::maxNumberOfIterations, moSteadyFitSolContinue< EOT >::maxNumberOfIterationsReached, and moSteadyFitSolContinue< EOT >::maxNumberOfIterationsWithoutImprovment.
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.SH "Member Data Documentation"
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.PP
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.SS "template<class EOT> bool \fBmoSteadyFitSolContinue\fP< EOT >::\fBmaximization\fP\fC [private]\fP"
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.PP
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Flag that indicate if there is a maximization (true) or a minimization (false) of the fitness value.
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.PP
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It can be interesting to know this information because some solution-based metaheuristics can generate solution with a fitness that is worse that the best known fitness (in this case, the counter is not reinitialized).
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.PP
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Definition at line 114 of file moSteadyFitSolContinue.h.
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.PP
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Referenced by moSteadyFitSolContinue< EOT >::operator()().
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.SH "Author"
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.PP
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Generated automatically by Doxygen for PARADISEO-MO from the source code.
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