moFitSolContinue, moSteadyFitSolContinue and moNoFitImprSolContinue are added
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@582 331e1502-861f-0410-8da2-ba01fb791d7f
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trunk/paradiseo-mo/src/moFitSolContinue.h
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trunk/paradiseo-mo/src/moFitSolContinue.h
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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
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// "moFitSolContinue.h"
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// (c) OPAC Team (LIFL), Dolphin project (INRIA), 2003-2007
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/* LICENCE TEXT
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Contact: paradiseo-help@lists.gforge.inria.fr
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*/
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#ifndef __moFitSolContinue_h
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#define __moFitSolContinue_h
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#include "moSolContinue.h"
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//! One possible stop criterion for a solution-based heuristic.
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/*!
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The stop criterion corresponds to a fitness threshold gained.
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*/
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template < class EOT > class moFitSolContinue:public moSolContinue < EOT >
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{
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public:
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//! Alias for the fitness.
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typedef typename EOT::Fitness Fitness;
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//! Basic constructor.
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/*!
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\param __fitness The fitness to reach.
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\param __maximization Indicate if the the aim is to maximize or minimize the fitness.
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*/
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moFitSolContinue (Fitness __fitness, bool __maximization=true): fitness (__fitness), maximization(__maximization)
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{}
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//! Function that activates the stopping criterion.
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/*!
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Indicates if the fitness threshold has not been yet reached.
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\param __sol the current solution.
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\return true or false according to the value of the fitness.
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*/
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bool operator () (const EOT & __sol)
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{
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if(__sol.invalid())
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{
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return true;
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}
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if(maximization)
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{
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return __sol.fitness()<fitness;
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}
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return __sol.fitness()>fitness;
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}
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//! Procedure which allows to initialise all the stuff needed.
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void init ()
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{}
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private:
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//! Fitness target.
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Fitness fitness;
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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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/*!
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It can be interesting to know this information because some solution-based metaheuristics can generate solution with a fitness that
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is worse that the best known fitness (in this case, the counter is not reinitialized).
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*/
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bool maximization;
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};
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#endif
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