Add the notion of currentNeighbor in the moMetropolisHastingexplorer
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@2541 331e1502-861f-0410-8da2-ba01fb791d7f
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2 changed files with 19 additions and 15 deletions
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@ -58,6 +58,7 @@ public:
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using moNeighborhoodExplorer<Neighbor>::neighborhood;
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using moNeighborhoodExplorer<Neighbor>::eval;
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using moNeighborhoodExplorer<Neighbor>::currentNeighbor;
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/**
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* Constructor
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@ -69,7 +70,6 @@ public:
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*/
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moMetropolisHastingExplorer(Neighborhood& _neighborhood, moEval<Neighbor>& _eval, moNeighborComparator<Neighbor>& _neighborComparator, moSolNeighborComparator<Neighbor>& _solNeighborComparator, unsigned int _nbStep) : moNeighborhoodExplorer<Neighbor>(_neighborhood, _eval), neighborComparator(_neighborComparator), solNeighborComparator(_solNeighborComparator), nbStep(_nbStep) {
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isAccept = false;
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current=new Neighbor();
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if (!neighborhood.isRandom()) {
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std::cout << "moMetropolisHastingExplorer::Warning -> the neighborhood used is not random" << std::endl;
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}
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@ -79,7 +79,6 @@ public:
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* Destructor
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*/
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~moMetropolisHastingExplorer() {
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delete current;
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}
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/**
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@ -113,10 +112,10 @@ public:
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//Test if _solution has a Neighbor
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if (neighborhood.hasNeighbor(_solution)) {
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//init the first neighbor
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neighborhood.init(_solution, (*current));
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neighborhood.init(_solution, currentNeighbor);
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//eval the _solution moved with the neighbor and stock the result in the neighbor
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eval(_solution, (*current));
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eval(_solution, currentNeighbor);
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}
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else {
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//if _solution hasn't neighbor,
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@ -139,9 +138,9 @@ public:
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*/
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virtual void move(EOT & _solution) {
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//move the solution
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(*current).move(_solution);
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currentNeighbor.move(_solution);
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//update its fitness
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_solution.fitness((*current).fitness());
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_solution.fitness(currentNeighbor.fitness());
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};
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/**
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@ -152,18 +151,18 @@ public:
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virtual bool accept(EOT & _solution) {
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double alpha=0.0;
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if (neighborhood.hasNeighbor(_solution)) {
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if (solNeighborComparator(_solution, *current))
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if (solNeighborComparator(_solution, currentNeighbor)
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isAccept = true;
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else {
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if (_solution.fitness() != 0) {
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if ( (double)current->fitness() < (double)_solution.fitness()) // maximizing
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alpha = (double) current->fitness() / (double) _solution.fitness();
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if ( (double)currentNeighbor.fitness() < (double)_solution.fitness()) // maximizing
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alpha = (double) currentNeighbor.fitness() / (double) _solution.fitness();
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else //minimizing
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alpha = (double) _solution.fitness() / (double) current->fitness();
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alpha = (double) _solution.fitness() / (double) currentNeighbor.fitness();
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isAccept = (rng.uniform() < alpha) ;
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}
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else {
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if ( (double)current->fitness() < (double)_solution.fitness()) // maximizing
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if ( (double)currentNeighbor.fitness() < (double)_solution.fitness()) // maximizing
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isAccept = true;
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else
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isAccept = false;
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@ -184,9 +183,6 @@ private:
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// maximum number of steps to do
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unsigned int nbStep;
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//Pointer on the best and the current neighbor
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Neighbor* current;
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// true if the move is accepted
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bool isAccept ;
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};
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@ -44,7 +44,15 @@
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#include <eval/moDummyEval.h>
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/**
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* Explore the neighborhood
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* Explore the neighborhood according to the local search algorithm
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*
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* During this exploration,
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* the parameters are updated
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* one neighbor is selected
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* a comparason with the solution is made to acccept or not this new neighbor
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*
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* the current neighbor is the neighbor under consideration during the search
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*
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*/
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template< class Neighbor >
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class moNeighborhoodExplorer : public eoUF<typename Neighbor::EOT&, void>
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