In the TSP, the fitness has to be minimized ... with all the needed modification (for example, moSA.h)
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@587 331e1502-861f-0410-8da2-ba01fb791d7f
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@ -29,11 +29,9 @@ public:
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//! Basic constructor.
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/*!
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\param __maxNumberOfIterationWithoutImprovement The number of iterations without fitness improvement to reach for stop.
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\param __minimization Indicate if the the aim is to maximize or minimize the fitness.
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*/
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moNoFitImprSolContinue (unsigned int __maxNumberOfIterationWithoutImprovement, bool __minimization=true)
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: maxNumberOfIterationsWithoutImprovement(__maxNumberOfIterationWithoutImprovement),minimization(__minimization),
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firstFitnessSaved(true), counter(0)
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moNoFitImprSolContinue (unsigned int __maxNumberOfIterationWithoutImprovement)
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: maxNumberOfIterationsWithoutImprovement(__maxNumberOfIterationWithoutImprovement), firstFitnessSaved(true), counter(0)
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{}
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//! Function that activates the stopping criterion.
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@ -59,8 +57,7 @@ public:
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counter++;
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if( ((minimization) && (__sol.fitness() < fitness)) ||
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((!minimization) && (__sol.fitness() > fitness)) )
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if( __sol.fitness() > fitness)
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{
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fitness=__sol.fitness();
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counter=0;
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@ -74,8 +71,14 @@ public:
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}
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//! Procedure which allows to initialise all the stuff needed.
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/*!
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It can be also used to reinitialize the counter all the needed things.
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*/
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void init ()
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{}
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{
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firstFitnessSaved=true;
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counter=0;
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}
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private:
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@ -88,13 +91,6 @@ private:
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//! Current Fitness.
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Fitness fitness;
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//! Flag that indicate if there is a minimization (true) or a maximization (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 solutions wiht 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 minimization;
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//! The iteration couter.
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unsigned int counter;
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};
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