add an evaluator wrapper that keep the best individual found so far
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@ -78,6 +78,7 @@
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#include <eoEvalCounterThrowException.h>
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#include <eoEvalTimeThrowException.h>
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#include <eoEvalUserTimeThrowException.h>
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#include <eoEvalKeepBest.h>
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// Continuators - all include eoContinue.h
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#include <eoCombinedContinue.h>
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107
eo/src/eoEvalKeepBest.h
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107
eo/src/eoEvalKeepBest.h
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@ -0,0 +1,107 @@
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/*
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This library is free software; you can redistribute it and/or
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modify it under the terms of the GNU Lesser General Public
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License as published by the Free Software Foundation;
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version 2 of the License.
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This library is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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Lesser General Public License for more details.
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You should have received a copy of the GNU Lesser General Public
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License along with this library; if not, write to the Free Software
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Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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© 2012 Thales group
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Authors:
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Johann Dreo <johann.dreo@thalesgroup.com>
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*/
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#ifndef eoEvalKeepBest_H
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#define eoEvalKeepBest_H
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#include <eoEvalFunc.h>
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#include <utils/eoParam.h>
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/**
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Evaluate with the given evaluator and keep the best individual found so far.
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This is useful if you use a non-monotonic algorithm, such as CMA-ES, where the
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population's best fitness can decrease between two generations. This is
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sometime necessary and one can't use elitist replacors, as one do not want to
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introduce a bias in the population.
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The eoEvalBestKeep is a wrapper around a classical evaluator, that keep the
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best individual it has found since its instanciation.
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To get the best individual, you have to call best_element() on the
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eoEvalKeepBest itself, and not on the population (or else you would get the
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best individual found at the last generation).
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Example:
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MyEval true_eval;
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eoEvalKeepBest<T> wrapped_eval( true_eval );
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// as an interesting side effect, you will get the best individual since
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// initalization.
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eoPop<T> pop( my_init );
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eoPopLoopEval<T> loop_eval( wrapped_eval );
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loop_eval( pop );
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eoEasyEA algo( …, wrapped_eval, … );
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algo(pop);
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// do not use pop.best_element()!
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std::cout << wrapped_eval.best_element() << std::endl;
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@ingroup Evaluation
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*/
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template<class EOT> class eoEvalKeepBest : public eoEvalFunc<EOT>, public eoValueParam<EOT>
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{
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public :
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eoEvalKeepBest(eoEvalFunc<EOT>& _func, std::string _name = "VeryBest. ")
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: eoValueParam<EOT>(EOT(), _name), func(_func) {}
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virtual void operator()(EOT& sol)
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{
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if( sol.invalid() ) {
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func(sol); // evaluate
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// if there is no best kept
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if( this->value().invalid() ) {
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// take the first individual as best
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this->value() = sol;
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} else {
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// if sol is better than the kept individual
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if( sol.fitness() > this->value().fitness() ) {
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this->value() = sol;
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}
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}
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} // if invalid
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}
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//! Return the best individual found so far.
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EOT best_element()
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{
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return this->value();
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}
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/** Reset the best individual to the given one. If no individual is
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* provided, the next evaluated one will be taken as a reference.
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*/
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void reset( const EOT& new_best = EOT() )
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{
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this->value() = new_best;
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}
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protected :
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eoEvalFunc<EOT>& func;
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};
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#endif
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@ -34,6 +34,7 @@ ENDIF()
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######################################################################################
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SET (TEST_LIST
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t-eoEvalKeepBest
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t-eoInitVariableLength
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t-eofitness
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t-eoRandom
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78
eo/test/t-eoEvalKeepBest.cpp
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78
eo/test/t-eoEvalKeepBest.cpp
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@ -0,0 +1,78 @@
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#include <iostream>
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#include <es/make_real.h>
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#include <apply.h>
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#include <eoEvalKeepBest.h>
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#include "real_value.h"
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using namespace std;
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int main(int argc, char* argv[])
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{
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typedef eoReal<eoMinimizingFitness> EOT;
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eoParser parser(argc, argv); // for user-parameter reading
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eoState state; // keeps all things allocated
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/*********************************************
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* problem or representation dependent stuff *
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*********************************************/
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// The evaluation fn - encapsulated into an eval counter for output
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eoEvalFuncPtr<EOT, double, const std::vector<double>&>
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main_eval( real_value ); // use a function defined in real_value.h
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// wrap the evaluation function in a call counter
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eoEvalFuncCounter<EOT> eval_counter(main_eval);
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// the genotype - through a genotype initializer
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eoRealInitBounded<EOT>& init = make_genotype(parser, state, EOT());
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// Build the variation operator (any seq/prop construct)
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eoGenOp<EOT>& op = make_op(parser, state, init);
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/*********************************************
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* Now the representation-independent things *
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*********************************************/
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// initialize the population - and evaluate
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// yes, this is representation indepedent once you have an eoInit
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eoPop<EOT>& pop = make_pop(parser, state, init);
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// stopping criteria
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eoContinue<EOT> & term = make_continue(parser, state, eval_counter);
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// things that are called at each generation
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eoCheckPoint<EOT> & checkpoint = make_checkpoint(parser, state, eval_counter, term);
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// wrap the evaluator in another one that will keep the best individual
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// evaluated so far
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eoEvalKeepBest<EOT> eval_keep( eval_counter );
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// algorithm
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eoAlgo<EOT>& ea = make_algo_scalar(parser, state, eval_keep, checkpoint, op);
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/***************************************
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* Now, call functors and DO something *
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***************************************/
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// to be called AFTER all parameters have been read!
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make_help(parser);
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// evaluate intial population AFTER help and status in case it takes time
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apply<EOT>(eval_keep, pop);
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std::clog << "Best individual after initialization and " << eval_counter.value() << " evaluations" << std::endl;
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std::cout << eval_keep.best_element() << std::endl;
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ea(pop); // run the ea
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std::cout << "Best individual after search and " << eval_counter.value() << " evaluations" << std::endl;
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// you can also call value(), because it is an eoParam
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std::cout << eval_keep.value() << std::endl;
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}
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