// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*- //----------------------------------------------------------------------------- // eoStat.h // (c) Marc Schoenauer, Maarten Keijzer and GeNeura Team, 2000 /* This library is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details. You should have received a copy of the GNU Lesser General Public License along with this library; if not, write to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA Contact: todos@geneura.ugr.es, http://geneura.ugr.es Marc.Schoenauer@polytechnique.fr mkeijzer@dhi.dk */ //----------------------------------------------------------------------------- #ifndef _eoStat_h #define _eoStat_h #include #include #include #include // accumulate #include /** Base class for all statistics that need to be calculated over the (unsorted) population (I guess it is not really necessary? MS) */ template class eoStatBase : public eoUF&, void> { public: virtual void lastCall(const eoPop&) {} }; /** The actual class that will be used as base for all statistics that need to be calculated over the (unsorted) population It is an eoStatBase AND an eoValueParam so it can be used in Monitors. */ template class eoStat : public eoValueParam, public eoStatBase { public : eoStat(T _value, std::string _description) : eoValueParam(_value, _description) {} }; /** Base class for statistics calculated over a sorted snapshot of the population */ template class eoSortedStatBase : public eoUF&, void> { public: virtual void lastCall(const vector&) {} }; /** The actual class that will be used as base for all statistics that need to be calculated over the sorted population It's an eoSortedStatBase AND an eoValueParam so it can be used in Monitors. */ template class eoSortedStat : public eoSortedStatBase, public eoValueParam { public : eoSortedStat(ParamType _value, std::string _desc) : eoValueParam(_value, _desc) {} }; /** Average fitness of a population, fitness can be a double, eoMinimizingFitness, eoMaximizingFitness or eoParetoFitness. In the case of pareto optimization it will calculate the average of each objective. */ template class eoAverageStat : public eoStat { public : typedef typename EOT::Fitness fitness_type; eoAverageStat(std::string _description = "Average Fitness") : eoStat(fitness_type(), _description) {} static double sumFitness(double _sum, const EOT& _eot) { _sum += _eot.fitness(); return _sum; } eoAverageStat(double _value, std::string _desc) : eoStat(_value, _desc) {} virtual void operator()(const eoPop& _pop) { doit(_pop, typename EOT::Fitness()); // specializations for scalar and vector } private : template void doit(const eoPop& _pop, eoParetoFitness) { value().clear(); value().resize(_pop[0].fitness().size(), 0.0); for (unsigned o = 0; o < value().size(); ++o) { for (unsigned i = 0; i < _pop.size(); ++i) { value()[o] += _pop[i].fitness()[o]; } value()[o] /= _pop.size(); } } template void doit(const eoPop& _pop, T) { double v = std::accumulate(_pop.begin(), _pop.end(), 0.0, eoAverageStat::sumFitness); value() = v / _pop.size(); } }; /** Average fitness + Std. dev. of a population, fitness needs to be scalar. */ template class eoSecondMomentStats : public eoStat > { public : typedef std::pair SquarePair; eoSecondMomentStats(std::string _description = "Average & Stdev") : eoStat(std::make_pair(0.0,0.0), _description) {} static SquarePair sumOfSquares(SquarePair _sq, const EOT& _eo) { double fitness = _eo.fitness(); _sq.first += fitness; _sq.second += fitness * fitness; return _sq; } virtual void operator()(const eoPop& _pop) { SquarePair result = std::accumulate(_pop.begin(), _pop.end(), std::make_pair(0.0, 0.0), eoSecondMomentStats::sumOfSquares); double n = _pop.size(); value().first = result.first / n; // average value().second = sqrt( (result.second - n * value().first * value().first) / (n - 1.0)); // stdev } }; /** The n_th element fitness in the population (see eoBestFitnessStat) */ template class eoNthElementFitnessStat : public eoSortedStat { public : typedef typename EOT::Fitness Fitness; eoNthElementFitnessStat(int _which, std::string _description = "nth element fitness") : eoSortedStat(Fitness(), _description), which(_which) {} virtual void operator()(const vector& _pop) { if (which > _pop.size()) throw logic_error("fitness requested of element outside of pop"); doit(_pop, Fitness()); } private : struct CmpFitness { CmpFitness(unsigned _which, bool _maxim) : which(_which), maxim(_maxim) {} bool operator()(const EOT* a, const EOT* b) { if (maxim) return a->fitness()[which] > b->fitness()[which]; return a->fitness()[which] < b->fitness()[which]; } unsigned which; bool maxim; }; template void doit(const eoPop& _pop, eoParetoFitness) { typedef typename EOT::Fitness::fitness_traits traits; value().resize(traits::nObjectives()); // copy of pointers, what the heck vector tmp_pop = _pop; for (unsigned o = 0; o < value().size(); ++o) { vector::iterator nth = tmp_pop.begin() + which; std::nth_element(tmp_pop.begin(), nth, tmp_pop.end(), CmpFitness(o, traits::maximizing(o))); value()[o] = (*nth)->fitness()[o]; } } // for everything else template void doit(const vector& _pop, T) { value() = _pop[which]->fitness(); } unsigned which; }; /* Actually, you shouldn't need to sort the population to get the best fitness MS - 17/11/00 template class eoBestFitnessStat : public eoStat { public : typedef typename EOT::Fitness Fitness; eoBestFitnessStat(std::string _description = "Best Fitness") : eoStat(Fitness(), _description) {} virtual void operator()(const eoPop& _pop) { value() = _pop.nth_element_fitness(0); } }; */ /** Best fitness in the population */ template class eoBestFitnessStat : public eoStat { public : typedef typename EOT::Fitness Fitness; eoBestFitnessStat(std::string _description = "Best ") : eoStat(typename EOT::Fitness(), _description) {} void operator()(const eoPop& _pop) { doit(_pop, typename EOT::Fitness()); } private : struct CmpFitness { CmpFitness(unsigned _which, bool _maxim) : which(_which), maxim(_maxim) {} bool operator()(const EOT& a, const EOT& b) { if (maxim) return a.fitness()[which] < b.fitness()[which]; return a.fitness()[which] > b.fitness()[which]; } unsigned which; bool maxim; }; template void doit(const eoPop& _pop, eoParetoFitness) { typedef typename EOT::Fitness::fitness_traits traits; value().resize(traits::nObjectives()); for (unsigned o = 0; o < traits::nObjectives(); ++o) { eoPop::const_iterator it = max_element(_pop.begin(), _pop.end(), CmpFitness(o, traits::maximizing(o))); value()[o] = it->fitness()[o]; } } // default template void doit(const eoPop& _pop, T) { // find the largest elements value() = _pop.best_element().fitness(); } }; template class eoDistanceStat : public eoStat { public : eoDistanceStat(std::string _name = "distance") : eoStat(0.0, _name) {} template double distance(T a, T b) { T res = a-b; return res < 0? -res : res; } double distance(bool a, bool b) { return (a==b)? 0 : 1; } void operator()(const eoPop& _pop) { double& v = value(); v = 0.0; for (unsigned i = 0; i < _pop.size(); ++i) { for (unsigned j = 0; j < _pop.size(); ++j) { for (unsigned k = 0; k < _pop[i].size(); ++k) { v += distance(_pop[i][k], _pop[j][k]); } } } double sz = _pop.size(); v /= sz * sz * _pop[0].size(); } }; /* template class eoStdevStat : public eoStat { public : typedef typename eoSecondMomentStats::SquarePair SquarePair; eoStdevStat(std::string _description = "Stdev") : eoStat(0.0, _description) {} virtual void operator()(const eoPop& _pop) { SquarePair result = std::accumulate(pop.begin(), pop.end(), std::make_pair(0.0, 0.0), eoSecondMomentStats::sumOfSquares); double n = pop.size(); value() = sqrt( (result.second - (result.first / n)) / (n - 1.0)); // stdev } }; */ #endif