intermediate commit 3
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4 changed files with 419 additions and 606 deletions
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@ -47,99 +47,97 @@
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template<class Neighbor>
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class moLocalSearch: public eoMonOp<typename Neighbor::EOT> {
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public:
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typedef moNeighborhood<Neighbor> Neighborhood;
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typedef moNeighborhoodExplorer<Neighbor> NeighborhoodExplorer;
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typedef typename Neighbor::EOT EOT;
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typedef moNeighborhood<Neighbor> Neighborhood;
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typedef moNeighborhoodExplorer<Neighbor> NeighborhoodExplorer;
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typedef typename Neighbor::EOT EOT;
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/**
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* Constructor of a moLocalSearch
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* @param _searchExpl a neighborhood explorer
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* @param _cont an external continuator (can be a checkpoint!)
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* @param _fullEval a full evaluation function
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*/
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moLocalSearch(NeighborhoodExplorer& _searchExpl,
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moContinuator<Neighbor> & _cont, eoEvalFunc<EOT>& _fullEval) :
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searchExplorer(_searchExpl), cont(&_cont), fullEval(_fullEval) {
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}
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;
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/**
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* Constructor of a moLocalSearch
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* @param _searchExpl a neighborhood explorer
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* @param _cont an external continuator (can be a checkpoint!)
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* @param _fullEval a full evaluation function
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*/
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moLocalSearch(NeighborhoodExplorer& _searchExpl,
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moContinuator<Neighbor> & _cont, eoEvalFunc<EOT>& _fullEval)
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: searchExplorer(_searchExpl), cont(&_cont), fullEval(_fullEval)
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{ }
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/**
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* Run the local search on a solution
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* @param _solution the related solution
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*/
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virtual bool operator()(EOT & _solution) {
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/**
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* Run the local search on a solution
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* @param _solution the related solution
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*/
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virtual bool operator()(EOT & _solution) {
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if (_solution.invalid())
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fullEval(_solution);
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if (_solution.invalid())
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fullEval(_solution);
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// initialization of the parameter of the search (for example fill empty the tabu list)
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searchExplorer.initParam(_solution);
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// initialization of the parameter of the search (for example fill empty the tabu list)
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searchExplorer.initParam(_solution);
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// initialization of the external continuator (for example the time, or the number of generations)
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cont->init(_solution);
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// initialization of the external continuator (for example the time, or the number of generations)
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cont->init(_solution);
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bool b;
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do {
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// explore the neighborhood of the solution
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searchExplorer(_solution);
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// if a solution in the neighborhood can be accepted
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if (searchExplorer.accept(_solution)) {
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searchExplorer.move(_solution);
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searchExplorer.moveApplied(true);
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} else
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searchExplorer.moveApplied(false);
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bool b;
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do {
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// explore the neighborhood of the solution
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searchExplorer(_solution);
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// if a solution in the neighborhood can be accepted
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if (searchExplorer.accept(_solution)) {
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searchExplorer.move(_solution);
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searchExplorer.moveApplied(true);
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} else
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searchExplorer.moveApplied(false);
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// update the parameter of the search (for ex. Temperature of the SA)
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searchExplorer.updateParam(_solution);
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// update the parameter of the search (for ex. Temperature of the SA)
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searchExplorer.updateParam(_solution);
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b = (*cont)(_solution);
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} while (b && searchExplorer.isContinue(_solution));
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b = (*cont)(_solution);
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} while (b && searchExplorer.isContinue(_solution));
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searchExplorer.terminate(_solution);
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searchExplorer.terminate(_solution);
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cont->lastCall(_solution);
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cont->lastCall(_solution);
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return true;
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}
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;
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return true;
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}
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/**
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* Set an external continuator
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* @param _cont the external continuator
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*/
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void setContinuator(moContinuator<Neighbor> & _cont) {
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cont = &_cont;
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}
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/**
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* Set an external continuator
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* @param _cont the external continuator
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*/
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void setContinuator(moContinuator<Neighbor> & _cont) {
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cont = &_cont;
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}
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/**
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* external continuator object
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*
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* @overload
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* @return the external continuator
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*/
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moContinuator<Neighbor>* getContinuator() const {
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return cont;
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}
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/**
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* external continuator object
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*
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* @overload
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* @return the external continuator
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*/
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moContinuator<Neighbor>* getContinuator() const {
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return cont;
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}
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/**
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* to get the neighborhood explorer
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*
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* @overload
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* @return the neighborhood explorer
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*/
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moNeighborhoodExplorer<Neighbor> & getNeighborhoodExplorer() const {
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return searchExplorer;
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}
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/**
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* to get the neighborhood explorer
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*
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* @overload
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* @return the neighborhood explorer
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*/
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moNeighborhoodExplorer<Neighbor> & getNeighborhoodExplorer() const {
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return searchExplorer;
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}
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protected:
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// make the exploration of the neighborhood according to a local search heuristic
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moNeighborhoodExplorer<Neighbor>& searchExplorer;
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// make the exploration of the neighborhood according to a local search heuristic
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moNeighborhoodExplorer<Neighbor>& searchExplorer;
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// external continuator
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moContinuator<Neighbor> * cont;
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// external continuator
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moContinuator<Neighbor> * cont;
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//full evaluation function
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eoEvalFunc<EOT>& fullEval;
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//full evaluation function
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eoEvalFunc<EOT>& fullEval;
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};
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#endif
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@ -67,9 +67,13 @@ public:
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moLocalSearch<Neighbor>(explorer, trueCont, _fullEval)
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{ }*/
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moSA(Neighborhood& _neighborhood, eoEvalFunc<EOT>& _fullEval, moEval<Neighbor>& _eval, double _initT=10, double _alpha=0.9, unsigned _span=100, double _finalT=0.01)
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: moLocalSearch<Neighbor>(explorer = *(defaultExplorer = new moSAexplorer<Neighbor>(_neighborhood, _eval, *defaultSolNeighborComp, *defaultCool)), *(trueCont = new moTrueContinuator<Neighbor>()), _fullEval),
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defaultCool(new moSimpleCoolingSchedule<EOT>(_initT, _alpha, _span, _finalT))
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//default_eval(NULL), // removed in C++11 with unique_ptr
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: moLocalSearch<Neighbor> (
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explorer_ptr = defaultExplorer = new moSAexplorer<Neighbor>(_neighborhood, _eval, NULL, *(defaultCool = new moSimpleCoolingSchedule<EOT>(_initT, _alpha, _span, _finalT))),
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*(trueCont = new moTrueContinuator<Neighbor>()),
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_fullEval ),
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explorer(*explorer_ptr),
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//defaultCool(),
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default_eval(NULL) // removed in C++11 with unique_ptr
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//defaultSolNeighborComp(new moSolNeighborComparator<Neighbor>())
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//explorer(_neighborhood, _eval, *defaultSolNeighborComp, *defaultCool)
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{ }
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@ -146,46 +150,76 @@ public:
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_cool )
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{ }*/
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: moLocalSearch<Neighbor> (
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explorer = *(defaultExplorer = new moSAexplorer<Neighbor> (
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explorer_ptr = defaultExplorer = new moSAexplorer<Neighbor> (
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_neighborhood,
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_eval, //_eval.hasValue()? _eval.get(): *(default_eval = new moFullEvalByCopy<Neighbor>(_fullEval)),
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//_eval, //_eval.hasValue()? _eval.get(): *(default_eval = new moFullEvalByCopy<Neighbor>(_fullEval)),
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_eval.hasValue()? default_eval = NULL, _eval.get(): *(default_eval = new moFullEvalByCopy<Neighbor>(_fullEval)),
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// C++11: _eval.hasValue()? _eval.get(): default_eval = new moFullEvalByCopy<Neighbor>(),
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_comp, //_comp.hasValue()? _comp.get(): *(defaultSolNeighborComp = new moSolNeighborComparator<Neighbor>()),
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_cool )),
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_cont.hasValue()? _cont.get(): *(trueCont = new moTrueContinuator<Neighbor>()),
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_cool ),
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_cont.hasValue()? trueCont = NULL, _cont.get(): *(trueCont = new moTrueContinuator<Neighbor>()),
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_fullEval ),
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explorer(*explorer_ptr),
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defaultCool(NULL) // removed in C++11 with unique_ptr
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//default_eval(NULL), // removed in C++11 with unique_ptr
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//trueCont(NULL) // removed in C++11 with unique_ptr
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//defaultSolNeighborComp(NULL) // removed in C++11 with unique_ptr
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{ }
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moSA (
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eoEvalFunc<EOT>& _fullEval,
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moSAexplorer<Neighbor>& _explorer,
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eoOptional< moContinuator<Neighbor> > _cont = NULL
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)
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: moLocalSearch<Neighbor> (
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*(explorer_ptr = &_explorer),
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_cont.hasValue()? _cont.get(): *(trueCont = new moTrueContinuator<Neighbor>()), _fullEval ),
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defaultExplorer(NULL), // removed in C++11 with unique_ptr
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explorer(*explorer_ptr),
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defaultCool(NULL), // removed in C++11 with unique_ptr
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//default_eval(NULL), // removed in C++11 with unique_ptr
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trueCont(NULL) // removed in C++11 with unique_ptr
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//defaultSolNeighborComp(NULL) // removed in C++11 with unique_ptr
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{ }
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/*
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moSA (
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eoEvalFunc<EOT>& _fullEval,
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moSAexplorer<Neighbor>& _explorer,
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eoOptional< moContinuator<Neighbor> > _cont = NULL
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moContinuator<Neighbor> _cont
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)
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: moLocalSearch<Neighbor> (
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*(explorer = &_explorer),
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_cont.hasValue()? _cont.get(): *(trueCont = new moTrueContinuator<Neighbor>()), _fullEval ),
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_cont, _fullEval ),
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defaultExplorer(NULL), // removed in C++11 with unique_ptr
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defaultCool(NULL), // removed in C++11 with unique_ptr
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//default_eval(NULL), // removed in C++11 with unique_ptr
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trueCont(NULL) // removed in C++11 with unique_ptr
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//defaultSolNeighborComp(NULL) // removed in C++11 with unique_ptr
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{ }
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*/
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virtual ~moSA ()
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{
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// Note: using unique_ptr would allow us to remove this explicit destructor, but they were only introduced in C++11
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if (trueCont != NULL)
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delete trueCont;
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if (explorer != NULL)
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delete explorer;
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if (defaultExplorer != NULL)
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delete defaultExplorer;
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if (default_eval != NULL)
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delete default_eval;
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}
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private:
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moFullEvalByCopy<Neighbor>* default_eval;
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moSAexplorer<Neighbor>* defaultExplorer;
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moSAexplorer<Neighbor>& explorer; // Not NULL (ref)
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moSAexplorer<Neighbor>* explorer_ptr; // Not NULL
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moSAexplorer<Neighbor>& explorer;
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moSimpleCoolingSchedule<EOT>* defaultCool; // C++11: const std::unique_ptr<moSimpleCoolingSchedule<EOT>>
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//moFullEvalByCopy<Neighbor>* default_eval;
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moTrueContinuator<Neighbor>* trueCont;
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@ -55,297 +55,298 @@ template< class EOT, class Neighbor > //, class Neighborhood >
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class moTrikiCoolingSchedule: public moCoolingSchedule< EOT >
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{
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public:
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//typedef typename Neighbor::EOT EOT ;
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typedef moNeighborhood<Neighbor> Neighborhood ;
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//typedef typename Neighbor::EOT EOT ;
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typedef moNeighborhood<Neighbor> Neighborhood ;
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//! Constructor
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/*!
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*/
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//! Constructor
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/*!
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*/
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moTrikiCoolingSchedule (Neighborhood& _neighborhood, moEval<Neighbor>& _eval, double _initTemp)
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: initTemp(_initTemp),
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mu2(10), // mu2 typically belongs to [1; 20]
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K1(2), // K1 in [1; 4], the number of chains without reaching equilibrium before we raise the temperature
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K2(5), // ???
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lambda1(2), // the increase in temperature, typically in [1.5; 4]
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lambda2(.7), // lambda2 in [0.5; 0.99]
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mu1(10), // target decrease in cost factor, in [2; 20]
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xi(1.05), // xi typically belongs to [1; 1.1]
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max_accepted(50), // depends on pb/neighborhood
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max_generated(100), // depends on pb/neighborhood
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theta(10), // theta is typically set to 10
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statIsInitialized(false),
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outf("out.data")
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{ }
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moTrikiCoolingSchedule (
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Neighborhood& _neighborhood, moEval<Neighbor>& _eval, double _initTemp,
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double _max_accepted,
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double _max_generated
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)
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: initTemp(_initTemp),
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mu2(10), // mu2 typically belongs to [1; 20]
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K1(2), // K1 in [1; 4], the number of chains without reaching equilibrium before we raise the temperature
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K2(5), // ???
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lambda1(2), // the increase in temperature, typically in [1.5; 4]
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lambda2(.7), // lambda2 in [0.5; 0.99]
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mu1(10), // target decrease in cost factor, in [2; 20]
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xi(1.05), // xi typically belongs to [1; 1.1]
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max_accepted(_max_accepted), // depends on pb/neighborhood
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max_generated(_max_generated), // depends on pb/neighborhood
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theta(10), // theta is typically set to 10
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statIsInitialized(false),
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outf("out.data")
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{ }
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/**
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* Initial temperature
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* @param _solution initial solution
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*/
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double init(EOT & _solution) {
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accepted = generated = costs_sum = 0;
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negative_temp = equilibrium_not_reached = frozen = 0;
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reinitializing = false;
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terminated = false;
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statIsInitialized = false;
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///
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cout << "INIT T=" << initTemp << endl;
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///
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//outf.open("out");
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//outf << "ok";
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//outf.close();
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return initTemp;
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}
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moTrikiCoolingSchedule (Neighborhood& _neighborhood, moEval<Neighbor>& _eval, double _initTemp)
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: initTemp(_initTemp),
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mu2(10), // mu2 typically belongs to [1; 20]
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K1(2), // K1 in [1; 4], the number of chains without reaching equilibrium before we raise the temperature
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K2(5), // ???
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lambda1(2), // the increase in temperature, typically in [1.5; 4]
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lambda2(.7), // lambda2 in [0.5; 0.99]
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mu1(10), // target decrease in cost factor, in [2; 20]
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xi(1.05), // xi typically belongs to [1; 1.1]
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max_accepted(50), // depends on pb/neighborhood
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max_generated(100), // depends on pb/neighborhood
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theta(10), // theta is typically set to 10
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statIsInitialized(false),
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outf("out.data")
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{ }
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moTrikiCoolingSchedule (
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Neighborhood& _neighborhood, moEval<Neighbor>& _eval, double _initTemp,
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double _max_accepted,
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double _max_generated
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)
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: initTemp(_initTemp),
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mu2(10), // mu2 typically belongs to [1; 20]
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K1(2), // K1 in [1; 4], the number of chains without reaching equilibrium before we raise the temperature
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K2(5), // ???
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lambda1(2), // the increase in temperature, typically in [1.5; 4]
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lambda2(.7), // lambda2 in [0.5; 0.99]
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mu1(10), // target decrease in cost factor, in [2; 20]
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xi(1.05), // xi typically belongs to [1; 1.1]
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max_accepted(_max_accepted), // depends on pb/neighborhood
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max_generated(_max_generated), // depends on pb/neighborhood
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theta(10), // theta is typically set to 10
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statIsInitialized(false),
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outf("out.data")
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{ }
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/**
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* Initial temperature
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* @param _solution initial solution
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*/
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double init(EOT & _solution) {
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accepted = generated = costs_sum = 0;
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negative_temp = equilibrium_not_reached = frozen = 0;
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reinitializing = false;
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terminated = false;
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statIsInitialized = false;
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///
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cout << "INIT T=" << initTemp << endl;
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///
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//outf.open("out");
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//outf << "ok";
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//outf.close();
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return initTemp;
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}
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/**
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* update the temperature by a factor
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* @param _temp current temperature to update
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* @param _acceptedMove true when the move is accepted, false otherwise
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*/
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void update(double& _temp, bool _acceptedMove, EOT & _solution) {
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//cout << _temp << " g " << generated << endl;
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generated++;
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if (_acceptedMove)
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{
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accepted++;
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//costs_sum += _solution.fitness();
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//varStat(_solution);
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if (statIsInitialized)
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momentStat(_solution);
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else momentStat.init(_solution), statIsInitialized = true;
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//cout << _solution.fitness() << " avgCost=" << momentStat.value().first << endl;
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}
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if (accepted > max_accepted || generated > max_generated) {
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if (accepted == 0) // ADDED! Otherwise the computed std dev is null; we're probably at equilibrium
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{
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///
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cout << "Stopping: no accepted solution" << endl;
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///
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terminated = true;
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return;
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}
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///
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cout << (accepted > max_accepted? "MAXACC ": "MAXGEN ");
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///
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//double avgCost = costs_sum/(double)accepted;
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//double stdDev = sqrt(varStat.value()); // WARNING: IT'S NO MORE THE AVG COST, NOW IT'S THE STD DEV!
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//double variance = varStat.value();
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double avgCost = momentStat.value().first;
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double variance = momentStat.value().second;
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double stdDev = sqrt(variance);
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double sigma = stdDev;
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double delta = sigma/mu2;
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|
||||
|
||||
//outf << avgCost << endl;
|
||||
outf << _temp << endl;
|
||||
//outf << prevAvgCost-delta << endl;
|
||||
|
||||
|
||||
accepted = generated = costs_sum = 0;
|
||||
//momentStat.init(_solution);//TODONE use next chain's first sol
|
||||
statIsInitialized = false;
|
||||
|
||||
///
|
||||
cout << "T=" << _temp << " avgCost=" << avgCost << " stdDev=" << stdDev << " currCost=" << _solution.fitness() << endl;
|
||||
///
|
||||
|
||||
double alpha;
|
||||
double oldprevAvgCost = prevAvgCost;
|
||||
|
||||
///
|
||||
cout << "negTemp: " << negative_temp << " / " << K2 << endl;
|
||||
///
|
||||
|
||||
if (negative_temp < K2)
|
||||
{
|
||||
if (!reinitializing)
|
||||
{
|
||||
///
|
||||
if (avgCost/(prevAvgCost-delta) > xi) cout << "/!\\ eq not reached!" << endl;
|
||||
///
|
||||
|
||||
if (avgCost/(prevAvgCost-delta) > xi)
|
||||
equilibrium_not_reached++;
|
||||
else equilibrium_not_reached = 0;
|
||||
}
|
||||
if (equilibrium_not_reached > K1)
|
||||
{
|
||||
///
|
||||
cout << "/!\\ Reinitializing (eq not reached)" << endl;
|
||||
///
|
||||
|
||||
reinitializing = true;
|
||||
alpha = lambda1;
|
||||
delta = sigma/mu1;
|
||||
equilibrium_not_reached = 0; // ADDED! Otherwise the algo gets trapped here!
|
||||
}
|
||||
else if (_temp*delta/(sigma*sigma) >= 1)
|
||||
{
|
||||
///
|
||||
cout << "/!\\ neg temp!" << endl;
|
||||
///
|
||||
|
||||
negative_temp++;
|
||||
reinitializing = true;
|
||||
if (negative_temp < K2)
|
||||
{
|
||||
alpha = lambda1;
|
||||
delta = sigma/mu1;
|
||||
} else
|
||||
alpha = lambda2;
|
||||
}
|
||||
|
||||
// First interpretation of the pseudocode indentation: (seems obviously false because it makes the above code unreachable)
|
||||
/*
|
||||
}
|
||||
else
|
||||
{
|
||||
cout << "ccc" << endl;
|
||||
reinitializing = false;
|
||||
prevAvgCost = avgCost;
|
||||
alpha = 1-_temp*delta/(sigma*sigma);
|
||||
}
|
||||
*/
|
||||
|
||||
// Second interpretation of the pseudocode indentation:
|
||||
else
|
||||
{
|
||||
///
|
||||
cout << "[normal decrease]" << endl;
|
||||
///
|
||||
|
||||
reinitializing = false;
|
||||
prevAvgCost = avgCost;
|
||||
//alpha = 1-_temp*delta/(sigma*sigma);
|
||||
alpha = 1-_temp*delta/variance;
|
||||
|
||||
//alpha = (sigma==0? 1: 1-_temp*delta/(sigma*sigma)); // ADDED! but removed
|
||||
|
||||
if (sigma == 0) // ADDED! When std dev is null, the solution is probably at eq, and the algo can't go on anyways
|
||||
terminated = true, cout << "Stopping: null std dev" << endl;
|
||||
}
|
||||
}
|
||||
// FIXME: else what? alpha=?
|
||||
|
||||
|
||||
/**
|
||||
* update the temperature by a factor
|
||||
* @param _temp current temperature to update
|
||||
* @param _acceptedMove true when the move is accepted, false otherwise
|
||||
*/
|
||||
void update(double& _temp, bool _acceptedMove, EOT & _solution) {
|
||||
|
||||
//cout << _temp << " g " << generated << endl;
|
||||
|
||||
generated++;
|
||||
|
||||
if (_acceptedMove)
|
||||
{
|
||||
accepted++;
|
||||
//costs_sum += _solution.fitness();
|
||||
//varStat(_solution);
|
||||
if (statIsInitialized)
|
||||
momentStat(_solution);
|
||||
else momentStat.init(_solution), statIsInitialized = true;
|
||||
|
||||
//cout << _solution.fitness() << " avgCost=" << momentStat.value().first << endl;
|
||||
}
|
||||
|
||||
|
||||
if (accepted > max_accepted || generated > max_generated) {
|
||||
|
||||
if (accepted == 0) // ADDED! Otherwise the computed std dev is null; we're probably at equilibrium
|
||||
{
|
||||
///
|
||||
cout << "Stopping: no accepted solution" << endl;
|
||||
///
|
||||
|
||||
terminated = true;
|
||||
return;
|
||||
}
|
||||
|
||||
///
|
||||
cout << (accepted > max_accepted? "MAXACC ": "MAXGEN ");
|
||||
///
|
||||
|
||||
//double avgCost = costs_sum/(double)accepted;
|
||||
//double stdDev = sqrt(varStat.value()); // WARNING: IT'S NO MORE THE AVG COST, NOW IT'S THE STD DEV!
|
||||
//double variance = varStat.value();
|
||||
double avgCost = momentStat.value().first;
|
||||
double variance = momentStat.value().second;
|
||||
double stdDev = sqrt(variance);
|
||||
double sigma = stdDev;
|
||||
double delta = sigma/mu2;
|
||||
|
||||
|
||||
//outf << avgCost << endl;
|
||||
outf << _temp << endl;
|
||||
//outf << prevAvgCost-delta << endl;
|
||||
|
||||
|
||||
accepted = generated = costs_sum = 0;
|
||||
//momentStat.init(_solution);//TODONE use next chain's first sol
|
||||
statIsInitialized = false;
|
||||
|
||||
///
|
||||
cout << "T=" << _temp << " avgCost=" << avgCost << " stdDev=" << stdDev << " currCost=" << _solution.fitness() << endl;
|
||||
///
|
||||
|
||||
double alpha;
|
||||
double oldprevAvgCost = prevAvgCost;
|
||||
|
||||
///
|
||||
cout << "negTemp: " << negative_temp << " / " << K2 << endl;
|
||||
///
|
||||
|
||||
if (negative_temp < K2)
|
||||
{
|
||||
if (!reinitializing)
|
||||
{
|
||||
///
|
||||
if (avgCost/(prevAvgCost-delta) > xi) cout << "/!\\ eq not reached!" << endl;
|
||||
///
|
||||
|
||||
if (avgCost/(prevAvgCost-delta) > xi)
|
||||
equilibrium_not_reached++;
|
||||
else equilibrium_not_reached = 0;
|
||||
}
|
||||
if (equilibrium_not_reached > K1)
|
||||
{
|
||||
///
|
||||
cout << "/!\\ Reinitializing (eq not reached)" << endl;
|
||||
///
|
||||
|
||||
reinitializing = true;
|
||||
alpha = lambda1;
|
||||
delta = sigma/mu1;
|
||||
equilibrium_not_reached = 0; // ADDED! Otherwise the algo gets trapped here!
|
||||
}
|
||||
else if (_temp*delta/(sigma*sigma) >= 1)
|
||||
{
|
||||
///
|
||||
cout << "/!\\ neg temp!" << endl;
|
||||
///
|
||||
|
||||
negative_temp++;
|
||||
reinitializing = true;
|
||||
if (negative_temp < K2)
|
||||
{
|
||||
alpha = lambda1;
|
||||
delta = sigma/mu1;
|
||||
} else
|
||||
alpha = lambda2;
|
||||
}
|
||||
|
||||
// First interpretation of the pseudocode indentation: (seems obviously false because it makes the above code unreachable)
|
||||
/*
|
||||
}
|
||||
else
|
||||
{
|
||||
cout << "ccc" << endl;
|
||||
reinitializing = false;
|
||||
prevAvgCost = avgCost;
|
||||
alpha = 1-_temp*delta/(sigma*sigma);
|
||||
}
|
||||
*/
|
||||
|
||||
// Second interpretation of the pseudocode indentation:
|
||||
else
|
||||
{
|
||||
///
|
||||
cout << "[normal decrease]" << endl;
|
||||
///
|
||||
|
||||
reinitializing = false;
|
||||
prevAvgCost = avgCost;
|
||||
//alpha = 1-_temp*delta/(sigma*sigma);
|
||||
alpha = 1-_temp*delta/variance;
|
||||
|
||||
//alpha = (sigma==0? 1: 1-_temp*delta/(sigma*sigma)); // ADDED! but removed
|
||||
|
||||
if (sigma == 0) // ADDED! When std dev is null, the solution is probably at eq, and the algo can't go on anyways
|
||||
terminated = true, cout << "Stopping: null std dev" << endl;
|
||||
}
|
||||
}
|
||||
// FIXME: else what? alpha=?
|
||||
|
||||
|
||||
|
||||
///
|
||||
cout << "*=" << alpha << endl;
|
||||
///
|
||||
|
||||
_temp *= alpha;
|
||||
|
||||
|
||||
// Never seems to be used
|
||||
if (avgCost == oldprevAvgCost) // use a neighborhood to approximate double equality?
|
||||
frozen++;
|
||||
else frozen = 0;
|
||||
|
||||
|
||||
|
||||
//exit(0);
|
||||
//cin.get();
|
||||
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
///
|
||||
cout << "*=" << alpha << endl;
|
||||
///
|
||||
|
||||
_temp *= alpha;
|
||||
|
||||
|
||||
// Never seems to be used
|
||||
if (avgCost == oldprevAvgCost) // use a neighborhood to approximate double equality?
|
||||
frozen++;
|
||||
else frozen = 0;
|
||||
|
||||
|
||||
|
||||
//exit(0);
|
||||
//cin.get();
|
||||
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
//! Function which proceeds to the cooling
|
||||
/*!
|
||||
*/
|
||||
bool operator() (double temperature)
|
||||
{
|
||||
///
|
||||
if (terminated) cout << "TERMINATED" << endl;
|
||||
///
|
||||
|
||||
return frozen < theta
|
||||
&& !terminated ; // ADDED! because 'frozen' doesn't terminate anything
|
||||
}
|
||||
//! Function which proceeds to the cooling
|
||||
/*!
|
||||
*/
|
||||
bool operator() (double temperature)
|
||||
{
|
||||
///
|
||||
if (terminated) cout << "TERMINATED" << endl;
|
||||
///
|
||||
|
||||
return frozen < theta
|
||||
&& !terminated ; // ADDED! because 'frozen' doesn't terminate anything
|
||||
}
|
||||
|
||||
private:
|
||||
//moNeighborhoodStat<Neighbor> nhStat;
|
||||
//moStdFitnessNeighborStat<Neighbor> stdDevStat;
|
||||
const double
|
||||
// parameters of the algorithm
|
||||
//currentTemp,
|
||||
initTemp,
|
||||
//ratio,
|
||||
//threshold,
|
||||
mu2, // mu2 typically belongs to [1; 20]
|
||||
K1, // K1 in [1; 4], the number of chains without reaching equilibrium before we raise the temperature
|
||||
K2,
|
||||
lambda1, // the increase in temperature, typically in [1.5; 4]
|
||||
lambda2, // lambda2 in [0.5; 0.99]
|
||||
mu1, // target decrease in cost factor, in [2; 20]
|
||||
xi // xi typically belongs to [1; 1.1]
|
||||
// private variables
|
||||
;
|
||||
double
|
||||
stdDev,
|
||||
prevAvgCost,
|
||||
expectedDecreaseInCost, // delta
|
||||
costs_sum
|
||||
;
|
||||
const int
|
||||
max_accepted,
|
||||
max_generated,
|
||||
theta // theta is typically set to 10
|
||||
;
|
||||
int
|
||||
accepted,
|
||||
generated,
|
||||
equilibrium_not_reached,
|
||||
negative_temp,
|
||||
frozen
|
||||
;
|
||||
bool reinitializing, terminated;
|
||||
|
||||
//moFitnessVarianceStat<EOT> varStat;
|
||||
moFitnessMomentsStat<EOT> momentStat;
|
||||
bool statIsInitialized;
|
||||
|
||||
ofstream outf;
|
||||
|
||||
//private:
|
||||
public://FIXME add friend
|
||||
//moNeighborhoodStat<Neighbor> nhStat;
|
||||
//moStdFitnessNeighborStat<Neighbor> stdDevStat;
|
||||
const double
|
||||
// parameters of the algorithm
|
||||
//currentTemp,
|
||||
initTemp,
|
||||
//ratio,
|
||||
//threshold,
|
||||
mu2, // mu2 typically belongs to [1; 20]
|
||||
K1, // K1 in [1; 4], the number of chains without reaching equilibrium before we raise the temperature
|
||||
K2,
|
||||
lambda1, // the increase in temperature, typically in [1.5; 4]
|
||||
lambda2, // lambda2 in [0.5; 0.99]
|
||||
mu1, // target decrease in cost factor, in [2; 20]
|
||||
xi // xi typically belongs to [1; 1.1]
|
||||
// private variables
|
||||
;
|
||||
double
|
||||
stdDev,
|
||||
prevAvgCost,
|
||||
expectedDecreaseInCost, // delta
|
||||
costs_sum
|
||||
;
|
||||
const int
|
||||
max_accepted,
|
||||
max_generated,
|
||||
theta // theta is typically set to 10
|
||||
;
|
||||
int
|
||||
accepted,
|
||||
generated,
|
||||
equilibrium_not_reached,
|
||||
negative_temp,
|
||||
frozen
|
||||
;
|
||||
bool reinitializing, terminated;
|
||||
|
||||
//moFitnessVarianceStat<EOT> varStat;
|
||||
moFitnessMomentsStat<EOT> momentStat;
|
||||
bool statIsInitialized;
|
||||
|
||||
ofstream outf;
|
||||
|
||||
};
|
||||
|
||||
#endif
|
||||
|
|
|
|||
|
|
@ -1,220 +0,0 @@
|
|||
/*
|
||||
<moSAexplorer.h>
|
||||
Copyright (C) DOLPHIN Project-Team, INRIA Lille - Nord Europe, 2006-2010
|
||||
|
||||
Sébastien Verel, Arnaud Liefooghe, Jérémie Humeau
|
||||
|
||||
This software is governed by the CeCILL license under French law and
|
||||
abiding by the rules of distribution of free software. You can use,
|
||||
modify and/ or redistribute the software under the terms of the CeCILL
|
||||
license as circulated by CEA, CNRS and INRIA at the following URL
|
||||
"http://www.cecill.info".
|
||||
|
||||
As a counterpart to the access to the source code and rights to copy,
|
||||
modify and redistribute granted by the license, users are provided only
|
||||
with a limited warranty and the software's author, the holder of the
|
||||
economic rights, and the successive licensors have only limited liability.
|
||||
|
||||
In this respect, the user's attention is drawn to the risks associated
|
||||
with loading, using, modifying and/or developing or reproducing the
|
||||
software by the user in light of its specific status of free software,
|
||||
that may mean that it is complicated to manipulate, and that also
|
||||
therefore means that it is reserved for developers and experienced
|
||||
professionals having in-depth computer knowledge. Users are therefore
|
||||
encouraged to load and test the software's suitability as regards their
|
||||
requirements in conditions enabling the security of their systems and/or
|
||||
data to be ensured and, more generally, to use and operate it in the
|
||||
same conditions as regards security.
|
||||
The fact that you are presently reading this means that you have had
|
||||
knowledge of the CeCILL license and that you accept its terms.
|
||||
|
||||
ParadisEO WebSite : http://paradiseo.gforge.inria.fr
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr
|
||||
*/
|
||||
|
||||
#ifndef _moSAexplorer_h
|
||||
#define _moSAexplorer_h
|
||||
|
||||
#include <cstdlib>
|
||||
|
||||
#include <explorer/moNeighborhoodExplorer.h>
|
||||
#include <comparator/moSolNeighborComparator.h>
|
||||
#include <coolingSchedule/moCoolingSchedule.h>
|
||||
#include <neighborhood/moNeighborhood.h>
|
||||
#include <eoOptional.h>
|
||||
#include <eval/moFullEvalByCopy.h>
|
||||
|
||||
#include <utils/eoRNG.h>
|
||||
|
||||
/**
|
||||
* Explorer for the Simulated Annealing
|
||||
* Only the symetric case is considered when Q(x,y) = Q(y,x)
|
||||
* Fitness must be > 0
|
||||
*
|
||||
*/
|
||||
template< class Neighbor >
|
||||
class moSAexplorer : public moNeighborhoodExplorer<Neighbor>
|
||||
{
|
||||
public:
|
||||
typedef typename Neighbor::EOT EOT ;
|
||||
typedef moNeighborhood<Neighbor> Neighborhood ;
|
||||
|
||||
using moNeighborhoodExplorer<Neighbor>::neighborhood;
|
||||
using moNeighborhoodExplorer<Neighbor>::eval;
|
||||
using moNeighborhoodExplorer<Neighbor>::selectedNeighbor;
|
||||
|
||||
/**
|
||||
* Constructor
|
||||
* @param _neighborhood the neighborhood
|
||||
* @param _eval the evaluation function
|
||||
* @param _solNeighborComparator a solution vs neighbor comparator
|
||||
* @param _coolingSchedule the cooling schedule
|
||||
*/
|
||||
/*
|
||||
moSAexplorer (
|
||||
Neighborhood& _neighborhood,
|
||||
moEval<Neighbor>& _eval,
|
||||
moSolNeighborComparator<Neighbor>& _solNeighborComparator,
|
||||
moCoolingSchedule<EOT>& _coolingSchedule
|
||||
)
|
||||
: moNeighborhoodExplorer<Neighbor>(_neighborhood, _eval),
|
||||
solNeighborComparator(_solNeighborComparator),
|
||||
coolingSchedule(_coolingSchedule)
|
||||
{
|
||||
isAccept = false;
|
||||
|
||||
if (!neighborhood.isRandom()) {
|
||||
std::cout << "moSAexplorer::Warning -> the neighborhood used is not random" << std::endl;
|
||||
}
|
||||
}*/
|
||||
moSAexplorer (
|
||||
Neighborhood& _neighborhood,
|
||||
moCoolingSchedule<EOT>& _cool,
|
||||
eoOptional< moEval<Neighbor> > _eval = NULL,
|
||||
eoOptional< moSolNeighborComparator<Neighbor> > _comp = NULL
|
||||
)
|
||||
: moNeighborhoodExplorer<Neighbor>(_neighborhood, _eval.hasValue()? _eval.get(): *(default_eval = new moFullEvalByCopy<Neighbor>(_fullEval))),
|
||||
default_eval(NULL), // removed in C++11 with unique_ptr
|
||||
defaultSolNeighborComp(NULL), // removed in C++11 with unique_ptr
|
||||
solNeighborComparator(_comp.hasValue()? _comp.get(): *(defaultSolNeighborComp = new moSolNeighborComparator<Neighbor>())),
|
||||
coolingSchedule(_coolingSchedule)
|
||||
{
|
||||
isAccept = false;
|
||||
|
||||
if (!neighborhood.isRandom()) {
|
||||
std::cout << "moSAexplorer::Warning -> the neighborhood used is not random" << std::endl;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Destructor
|
||||
*/
|
||||
~moSAexplorer() {
|
||||
if (defaultSolNeighborComp != NULL)
|
||||
delete defaultSolNeighborComp;
|
||||
if (default_eval != NULL)
|
||||
delete default_eval;
|
||||
}
|
||||
|
||||
/**
|
||||
* initialization of the initial temperature
|
||||
* @param _solution the solution
|
||||
*/
|
||||
virtual void initParam(EOT & _solution) {
|
||||
temperature = coolingSchedule.init(_solution);
|
||||
isAccept = false;
|
||||
};
|
||||
|
||||
/**
|
||||
* decrease the temperature if necessary
|
||||
* @param _solution unused solution
|
||||
*/
|
||||
virtual void updateParam(EOT & _solution) {
|
||||
coolingSchedule.update(temperature, this->moveApplied(), _solution);
|
||||
};
|
||||
|
||||
/**
|
||||
* terminate: NOTHING TO DO
|
||||
* @param _solution unused solution
|
||||
*/
|
||||
virtual void terminate(EOT & _solution) {};
|
||||
|
||||
/**
|
||||
* Explore one random solution in the neighborhood
|
||||
* @param _solution the solution
|
||||
*/
|
||||
virtual void operator()(EOT & _solution) {
|
||||
//Test if _solution has a Neighbor
|
||||
if (neighborhood.hasNeighbor(_solution)) {
|
||||
//init on the first neighbor: supposed to be random solution in the neighborhood
|
||||
neighborhood.init(_solution, selectedNeighbor);
|
||||
|
||||
//eval the _solution moved with the neighbor and stock the result in the neighbor
|
||||
eval(_solution, selectedNeighbor);
|
||||
}
|
||||
else {
|
||||
//if _solution hasn't neighbor,
|
||||
isAccept=false;
|
||||
}
|
||||
};
|
||||
|
||||
/**
|
||||
* continue if the temperature is not too low
|
||||
* @param _solution the solution
|
||||
* @return true if the criteria from the cooling schedule is true
|
||||
*/
|
||||
virtual bool isContinue(EOT & _solution) {
|
||||
return coolingSchedule(temperature);
|
||||
};
|
||||
|
||||
/**
|
||||
* acceptance criterion according to the boltzmann criterion
|
||||
* @param _solution the solution
|
||||
* @return true if better neighbor or rnd < exp(delta f / T)
|
||||
*/
|
||||
virtual bool accept(EOT & _solution) {
|
||||
if (neighborhood.hasNeighbor(_solution)) {
|
||||
if (solNeighborComparator(_solution, selectedNeighbor)) // accept if the current neighbor is better than the solution
|
||||
isAccept = true;
|
||||
else {
|
||||
double alpha=0.0;
|
||||
double fit1, fit2;
|
||||
fit1=(double)selectedNeighbor.fitness();
|
||||
fit2=(double)_solution.fitness();
|
||||
if (fit1 < fit2) // this is a maximization
|
||||
alpha = exp((fit1 - fit2) / temperature );
|
||||
else // this is a minimization
|
||||
alpha = exp((fit2 - fit1) / temperature );
|
||||
isAccept = (rng.uniform() < alpha) ;
|
||||
}
|
||||
}
|
||||
return isAccept;
|
||||
};
|
||||
|
||||
/**
|
||||
* Getter
|
||||
* @return the temperature
|
||||
*/
|
||||
double getTemperature() {
|
||||
return temperature;
|
||||
}
|
||||
|
||||
private:
|
||||
|
||||
moFullEvalByCopy<Neighbor>* default_eval;
|
||||
moSolNeighborComparator<Neighbor>* defaultSolNeighborComp;
|
||||
|
||||
// comparator betwenn solution and neighbor
|
||||
moSolNeighborComparator<Neighbor>& solNeighborComparator;
|
||||
|
||||
moCoolingSchedule<EOT>& coolingSchedule;
|
||||
|
||||
// temperatur of the process
|
||||
double temperature;
|
||||
|
||||
// true if the move is accepted
|
||||
bool isAccept ;
|
||||
};
|
||||
|
||||
|
||||
#endif
|
||||
Loading…
Add table
Add a link
Reference in a new issue