hypervolume pointers + doc
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8 changed files with 12 additions and 8 deletions
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@ -138,7 +138,7 @@ public:
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* @param _p_change the probability to change a given coordinate
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*/
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eoNormalMutation(eoRealVectorBounds & _bounds,
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double _sigma, const double& _p_change = 1.0):
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double & _sigma, const double& _p_change = 1.0):
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sigma(_sigma), bounds(_bounds), p_change(_p_change) {}
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/** The class name */
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@ -2,7 +2,9 @@
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// t-eoParallel.cpp
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//-----------------------------------------------------------------------------
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#ifdef ENABLE_OPENMP
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#include <omp.h>
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#endif
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#include <eo>
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#include <es/make_real.h>
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@ -86,7 +86,7 @@ public:
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virtual bool equals(moTwoOptExNeighbor<EOT,Fitness> & _neighbor) {
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unsigned f, s;
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_neighbor.getIndices(f, s);
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return ((indices.first == f) && (indices.second == s) || (indices.first == s) && (indices.second == f));
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return (((indices.first == f) && (indices.second == s)) || ((indices.first == s) && (indices.second == f)));
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}
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/**
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@ -211,7 +211,7 @@ private:
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std::sort(sortedptrpop.begin(), sortedptrpop.end(), cmp);
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//
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/*
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std::cout << std::endl << "sorted pop" << std::endl;
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std::cout << "====================" << std::endl;
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for(unsigned int i=0; i<_pop.size(); i++)
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@ -219,7 +219,7 @@ private:
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std::cout << i << " : " << (*sortedptrpop[i]) << std::endl;
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}
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std::cout << "====================" << std::endl;
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//
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*/
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// compute an upper bound on the second objective (1)
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double max_obj1 = std::numeric_limits<double>::min();
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@ -42,8 +42,8 @@
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#include <metric/moeoMetric.h>
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/**
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* The contribution metric evaluates the proportion of non-dominated solutions given by a Pareto set relatively to another Pareto set
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* (Meunier, Talbi, Reininger: 'A multiobjective genetic algorithm for radio network optimization', in Proc. of the 2000 Congress on Evolutionary Computation, IEEE Press, pp. 317-324)
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* The hypervolume metric evaluates the multi-dimensional area (hypervolume) enclosed by set of objective vectors and a reference point
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* (E. Zitzler and L. Thiele. Multiobjective evolutionary algorithms: A comparative case study and the strength pareto approach. IEEE Transactions on Evolutionary Computation, 3(4):257–271, 1999)
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*/
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template < class ObjectiveVector >
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class moeoHyperVolumeMetric : public moeoVectorUnaryMetric < ObjectiveVector , double >
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@ -57,7 +57,7 @@
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#include <algo/moeoSPEA2.h>
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#include <algo/moeoUnifiedDominanceBasedLS.h>
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#include <archive/moeo2DMinHypervolumeArchive.h>
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//#include <archive/moeo2DMinHypervolumeArchive.h>
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#include <archive/moeoArchive.h>
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#include <archive/moeoBoundedArchive.h>
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#include <archive/moeoEpsilonHyperboxArchive.h>
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@ -80,7 +80,7 @@ class moeoRouletteSelect:public moeoSelectOne < MOEOT >
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protected:
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/** size */
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unsigned int & tSize;
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unsigned int tSize;
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};
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@ -41,6 +41,8 @@
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#include <moeo>
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#include <cassert>
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#include<archive/moeo2DMinHyperVolumeArchive.h>
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//-----------------------------------------------------------------------------
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class ObjectiveVectorTraits : public moeoObjectiveVectorTraits
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