more adjustments for gcc-3.4 (now using optimization, go figure...)
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cf4849c472
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7b9e6d3e1f
4 changed files with 30 additions and 31 deletions
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@ -1,7 +1,7 @@
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#ifdef _MSC_VER
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// to avoid long name warnings
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#pragma warning(disable:4786)
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#endif
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#endif
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#include <eoFunctorStore.h>
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#include <eoFunctor.h>
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@ -9,8 +9,7 @@
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/// clears the memory
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eoFunctorStore::~eoFunctorStore()
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{
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for (size_t i = 0; i < vec.size(); ++i)
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{
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for(size_t i = 0; i < vec.size(); ++i) {
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delete vec[i];
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}
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}
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@ -38,13 +38,13 @@ dynamically created functors.
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*/
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class eoFunctorStore
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{
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public :
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public:
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/// Default Ctor
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eoFunctorStore() {}
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/// Default Ctor
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eoFunctorStore() {}
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// virtual destructor so we don't need to define it in derived classes
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virtual ~eoFunctorStore();
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// virtual destructor so we don't need to define it in derived classes
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virtual ~eoFunctorStore();
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/// Add an eoFunctorBase to the store
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template <class Functor>
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@ -3,7 +3,7 @@
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//-----------------------------------------------------------------------------
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// eoStochasticUniversalSelect.h
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// (c) Maarten Keijzer 2003
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/*
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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; either
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@ -41,11 +41,11 @@
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*/
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//-----------------------------------------------------------------------------
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template <class EOT> class eoStochasticUniversalSelect: public eoSelectOne<EOT>
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template <class EOT> class eoStochasticUniversalSelect: public eoSelectOne<EOT>
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{
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public:
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/// Sanity check
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eoStochasticUniversalSelect(const eoPop<EOT>& pop = eoPop<EOT>())
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eoStochasticUniversalSelect(const eoPop<EOT>& pop = eoPop<EOT>())
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{
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if (minimizing_fitness<EOT>())
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throw std::logic_error("eoStochasticUniversalSelect: minimizing fitness");
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@ -54,27 +54,27 @@ public:
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void setup(const eoPop<EOT>& _pop)
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{
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if (_pop.size() == 0) return;
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std::vector<typename EOT::Fitness> cumulative(_pop.size());
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cumulative[0] = _pop[0].fitness();
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for (unsigned i = 1; i < _pop.size(); ++i)
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for (unsigned i = 1; i < _pop.size(); ++i)
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{
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cumulative[i] = _pop[i].fitness() + cumulative[i-1];
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}
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indices.reserve(_pop.size());
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indices.resize(0);
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double fortune = rng.uniform() * cumulative.back();
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double step = cumulative.back() / double(_pop.size());
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unsigned i = std::upper_bound(cumulative.begin(), cumulative.end(), fortune) - cumulative.begin();
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while (indices.size() < _pop.size()) {
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while (cumulative[i] < fortune) {i++;} // linear search is good enough as we average one step each time
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indices.push_back(i);
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fortune += step;
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if (fortune >= cumulative.back()) { // start at the beginning
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@ -85,16 +85,16 @@ public:
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// shuffle
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for (int i = indices.size() - 1; i > 0; --i) {
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int j = rng.random(i+1);
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swap(indices[i], indices[j]);
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std::swap(indices[i], indices[j]);
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}
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}
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/** do the selection,
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/** do the selection,
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*/
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const EOT& operator()(const eoPop<EOT>& _pop)
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const EOT& operator()(const eoPop<EOT>& _pop)
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{
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if (indices.empty()) setup(_pop);
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unsigned index = indices.back();
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indices.pop_back();
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return _pop[index];
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@ -3,7 +3,7 @@
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//-----------------------------------------------------------------------------
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// eoPBILOrg.h
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// (c) Marc Schoenauer, Maarten Keijzer, 2001
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/*
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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; either
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@ -30,7 +30,7 @@
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#include <ga/eoPBILDistrib.h>
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/**
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* Distribution Class for PBIL algorithm
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* Distribution Class for PBIL algorithm
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* (Population-Based Incremental Learning, Baluja and Caruana 95)
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*
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* This class implements the update rule from the original paper:
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@ -43,13 +43,13 @@ class eoPBILOrg : public eoDistribUpdater<EOT>
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{
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public:
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/** Ctor with size of genomes, and update parameters */
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eoPBILOrg(double _LR, double _tolerance=0.0 ) :
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eoPBILOrg(double _LR, double _tolerance=0.0 ) :
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LR(_LR), maxBound(1.0-_tolerance), minBound(_tolerance)
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{}
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/** Update the distribution from the current population */
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virtual void operator()(eoDistribution<EOT> & _distrib, eoPop<EOT>& _pop)
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virtual void operator()(eoDistribution<EOT> & _distrib, eoPop<EOT>& _pop)
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{
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const EOT & best = _pop.best_element();
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eoPBILDistrib<EOT>& distrib = dynamic_cast<eoPBILDistrib<EOT>&>(_distrib);
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@ -62,11 +62,11 @@ public:
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p[g] *= (1-LR);
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if ( best[g] )
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p[g] += LR;
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// else nothing
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// else nothing
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// stay away from 0 and 1
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p[g] = min(maxBound, p[g]);
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p[g] = max(minBound, p[g]);
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p[g] = std::min(maxBound, p[g]);
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p[g] = std::max(minBound, p[g]);
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}
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}
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