Added first batch of pareto based stuff
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276
eo/src/eoDominanceMap.h
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276
eo/src/eoDominanceMap.h
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/** -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
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-----------------------------------------------------------------------------
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eoDominanceMap.h
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(c) Maarten Keijzer, Marc Schoenauer, 2001
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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; either
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version 2 of the License, or (at your option) any later version.
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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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Contact: todos@geneura.ugr.es, http://geneura.ugr.es
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Marc.Schoenauer@polytechnique.fr
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mkeijzer@dhi.dk
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*/
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//-----------------------------------------------------------------------------
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#ifndef eoDominanceMap_h
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#define eoDominanceMap_h
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#include <eoFunctor.h>
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#include <eoPop.h>
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/**
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eoDominanceMap, utility class to calculate and maintain a map (vector<vector<bool> >) of pareto dominance statistics.
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It is set up such that
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if map[i][j] == true
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then i dominates j
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The dominance map can be used to perform pareto ranking (eoParetoRanking) or non dominated sorting.
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For the latter, the remove() member function might come in handy.
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\todo make it an eoStat?
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*/
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template <class EoType>
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class eoDominanceMap : public eoUF<const eoPop<EoType>&, void>, public std::vector<std::vector<bool> >
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{
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public :
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/**
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Ctor that needs to know what objectives are supposed to be maximized and which are to be minimized.
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optional argument, a tolerance. This designates within which tolerance objective values are considered to be equal
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*/
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eoDominanceMap(const std::vector<bool>& _maximizes, double _tol = 1e-6) : maximizes(_maximizes), tol(_tol) {}
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/**
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Clears the map
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*/
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void clear()
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{
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std::vector<std::vector<bool> >::clear();
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fitnesses.clear();
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}
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/**
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Update or create the dominance map
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*/
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void operator()(const eoPop<EoType>& _pop)
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{
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if (fitness.size() != _pop.size())
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{ // fresh start
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setup(_pop);
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return;
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}
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// else just update the guys that have changed
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update(_pop);
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}
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/// update the map with the population
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void update(const eoPop<EoType>& _pop)
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{
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for (unsigned i = 0; i < _pop.size(); ++i)
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{
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if (fitness[i] == _pop[i].fitness())
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{
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continue;
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}
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// it's a new guy, update rows and columns
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fitness[i] = _pop[i].fitness();
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for (unsigned j = 0; j < _pop.size(); ++j)
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{
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if (i == j)
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continue;
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switch (dominates(_pop[i].fitness(), _pop[j].fitness()))
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{
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case a_dominates_b :
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{
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operator[](i)[j] = true;
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operator[](j)[i] = false;
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break;
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}
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case b_dominates_a :
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{
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operator[](i)[j] = false;
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operator[](j)[i] = true;
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break;
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}
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default :
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{
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operator[](i)[j] = false;
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operator[](j)[i] = true;
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}
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}
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}
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}
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}
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/**
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Removes the domination info for a given individual, thus nothing dominates it and it dominates nothing.
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*/
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void remove(unsigned i)
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{
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for (unsigned j = 0; j < size(); ++j)
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{
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operator[](i)[j] = false; // clear row
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operator[](j)[i] = false; // clear col
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}
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}
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/**
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Create domination matrix from scratch. Complexity O(N^2)
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*/
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void setup(const eoPop<EoType>& _pop)
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{
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fitness.resize(_pop.size());
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resize(_pop.size());
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for (unsigned i = 0; i < _pop.size(); ++i)
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{
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fitness[i] = _pop[i].fitness();
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operator[](i).resize(_pop.size(), false);
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for (unsigned j = 0; j < i; ++j)
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{
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switch(dominates(fitness[i], fitness[j]))
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{
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case a_dominates_b :
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{
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operator[](i)[j] = true;
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operator[](j)[i] = false;
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break;
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}
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case b_dominates_a :
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{
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operator[](i)[j] = false;
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operator[](j)[i] = true;
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break;
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}
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default :
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{
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operator[](i)[j] = false;
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operator[](j)[i] = true;
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}
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}
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}
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}
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}
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/**
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For all elements, returns the no. of elements that dominate the element
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Thus: lower is better (and 0 is the front).
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It returns a vector<double> cuz that
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makes subsequent manipulation that much easier
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*/
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vector<double> sum_dominators() const
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{
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vector<double> result(size(), 0.0);
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for (unsigned i = 0; i < size(); ++i)
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{
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for (unsigned j = 0; j < size(); ++j)
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{
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if (operator[](i)[j])
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result[i]++;
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}
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}
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return result;
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}
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/**
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For all elements, returns the number of elements that the element dominates
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Thus: higher is better
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It returns a vector<double> cuz that
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makes subsequent manipulation that much easier
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*/
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vector<double> sum_dominants() const
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{
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vector<double> result(size(), 0.0);
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for (unsigned i = 0; i < size(); ++i)
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{
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for (unsigned j = 0; j < size(); ++j)
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{
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if (operator[](j)[i])
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result[i]++;
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}
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}
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return result;
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}
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/**
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make a distinction between no domination (a better than b on one objective and worse on another)
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and equality: a == b
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*/
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enum dom_res {a_dominates_b, b_dominates_a, no_domination, a_equals_b};
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/**
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a dominates b if it is better in one objective and not worse in any of the others
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*/
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dom_res dominates(typename EoType::Fitness a, typename EoType::Fitness b)
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{
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dom_res result = a_equals_b;
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for (unsigned i = 0; i < a.size(); ++i)
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{
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double aval = a[i];
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double bval = b[i];
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if (!maximizes[i])
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{
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aval = -aval;
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bval = -bval;
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}
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// check if unequal, in the case they're 'equal' just go to the next
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if (fabs(aval - bval) > tol)
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{
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if (aval > bval)
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{
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if (result == b_dominates_a)
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{
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return no_domination; // when on another objective b dominated a, they do not dominate each other
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}
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// else continue comparing
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result = a_dominates_b;
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}
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else // bval > aval
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{
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if (result == a_dominates_b)
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{
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return no_domination; // done
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}
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result = b_dominates_a;
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}
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}
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}
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return result;
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}
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private :
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vector<bool> maximizes;
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double tol;
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vector<typename EoType::Fitness> fitness;
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};
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#endif
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58
eo/src/eoParetoRanking.h
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58
eo/src/eoParetoRanking.h
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@ -0,0 +1,58 @@
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/** -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
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-----------------------------------------------------------------------------
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eoParetoRanking.h
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(c) Maarten Keijzer, Marc Schoenauer, 2001
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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; either
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version 2 of the License, or (at your option) any later version.
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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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Contact: todos@geneura.ugr.es, http://geneura.ugr.es
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Marc.Schoenauer@polytechnique.fr
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mkeijzer@dhi.dk
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*/
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//-----------------------------------------------------------------------------
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#ifndef eoParetoRanking_h
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#define eoParetoRanking_h
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#include <eoPerf2Worth.h>
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#include <eoDominanceMap.h>
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/**
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Straightforward pareto ranking. Every individual gets a rank according to the number
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of elements it dominates. Note that without niching, this technique will usually not
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find the whole front of non-dominated solutions, but will quite likely converge
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on a single spot on the front.
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*/
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template <class EOT>
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class eoParetoRanking : public eoPerf2Worth<EOT, double>
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{
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public :
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eoParetoRanking(eoDominanceMap<EOT>& _dominanceMap) :
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eoPerf2Worth<EOT, double>(), dominanceMap(_dominanceMap) {}
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void operator()(const eoPop<EOT>& _pop)
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{
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dominanceMap(_pop);
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value() = dominanceMap.sum_dominants();
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}
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private :
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eoDominanceMap<EOT>& dominanceMap;
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};
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#endif
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