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Hadrons: scheduler back!

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This commit is contained in:
Antonin Portelli
2017-12-13 16:36:15 +00:00
parent 61fc50d616
commit 0887566134
5 changed files with 189 additions and 186 deletions
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66
extras/Hadrons/GeneticScheduler.hpp
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@ -38,13 +38,13 @@ BEGIN_HADRONS_NAMESPACE
/******************************************************************************
* Scheduler based on a genetic algorithm *
******************************************************************************/
template <typename T>
template <typename V, typename T>
class GeneticScheduler
{
public:
typedef std::vector<T> Gene;
typedef std::pair<Gene *, Gene *> GenePair;
typedef std::function<int(const Gene &)> ObjFunc;
typedef std::vector<T> Gene;
typedef std::pair<Gene *, Gene *> GenePair;
typedef std::function<V(const Gene &)> ObjFunc;
struct Parameters
{
double mutationRate;
@ -65,7 +65,7 @@ public:
void benchmarkCrossover(const unsigned int nIt);
// print population
friend std::ostream & operator<<(std::ostream &out,
const GeneticScheduler<T> &s)
const GeneticScheduler<V, T> &s)
{
out << "[";
for (auto &p: s.population_)
@ -87,19 +87,19 @@ private:
void mutation(Gene &m, const Gene &c);
private:
Graph<T> &graph_;
const ObjFunc &func_;
const Parameters par_;
std::multimap<int, Gene> population_;
std::mt19937 gen_;
Graph<T> &graph_;
const ObjFunc &func_;
const Parameters par_;
std::multimap<V, Gene> population_;
std::mt19937 gen_;
};
/******************************************************************************
* template implementation *
******************************************************************************/
// constructor /////////////////////////////////////////////////////////////////
template <typename T>
GeneticScheduler<T>::GeneticScheduler(Graph<T> &graph, const ObjFunc &func,
template <typename V, typename T>
GeneticScheduler<V, T>::GeneticScheduler(Graph<T> &graph, const ObjFunc &func,
const Parameters &par)
: graph_(graph)
, func_(func)
@ -109,22 +109,22 @@ GeneticScheduler<T>::GeneticScheduler(Graph<T> &graph, const ObjFunc &func,
}
// access //////////////////////////////////////////////////////////////////////
template <typename T>
const typename GeneticScheduler<T>::Gene &
GeneticScheduler<T>::getMinSchedule(void)
template <typename V, typename T>
const typename GeneticScheduler<V, T>::Gene &
GeneticScheduler<V, T>::getMinSchedule(void)
{
return population_.begin()->second;
}
template <typename T>
int GeneticScheduler<T>::getMinValue(void)
template <typename V, typename T>
int GeneticScheduler<V, T>::getMinValue(void)
{
return population_.begin()->first;
}
// breed a new generation //////////////////////////////////////////////////////
template <typename T>
void GeneticScheduler<T>::nextGeneration(void)
template <typename V, typename T>
void GeneticScheduler<V, T>::nextGeneration(void)
{
// random initialization of the population if necessary
if (population_.size() != par_.popSize)
@ -158,8 +158,8 @@ void GeneticScheduler<T>::nextGeneration(void)
}
// evolution steps /////////////////////////////////////////////////////////////
template <typename T>
void GeneticScheduler<T>::initPopulation(void)
template <typename V, typename T>
void GeneticScheduler<V, T>::initPopulation(void)
{
population_.clear();
for (unsigned int i = 0; i < par_.popSize; ++i)
@ -170,8 +170,8 @@ void GeneticScheduler<T>::initPopulation(void)
}
}
template <typename T>
void GeneticScheduler<T>::doCrossover(void)
template <typename V, typename T>
void GeneticScheduler<V, T>::doCrossover(void)
{
auto p = selectPair();
Gene &p1 = *(p.first), &p2 = *(p.second);
@ -185,8 +185,8 @@ void GeneticScheduler<T>::doCrossover(void)
}
}
template <typename T>
void GeneticScheduler<T>::doMutation(void)
template <typename V, typename T>
void GeneticScheduler<V, T>::doMutation(void)
{
std::uniform_real_distribution<double> mdis(0., 1.);
std::uniform_int_distribution<unsigned int> pdis(0, population_.size() - 1);
@ -206,8 +206,8 @@ void GeneticScheduler<T>::doMutation(void)
}
// genetic operators ///////////////////////////////////////////////////////////
template <typename T>
typename GeneticScheduler<T>::GenePair GeneticScheduler<T>::selectPair(void)
template <typename V, typename T>
typename GeneticScheduler<V, T>::GenePair GeneticScheduler<V, T>::selectPair(void)
{
std::vector<double> prob;
unsigned int ind;
@ -233,8 +233,8 @@ typename GeneticScheduler<T>::GenePair GeneticScheduler<T>::selectPair(void)
return std::make_pair(p1, p2);
}
template <typename T>
void GeneticScheduler<T>::crossover(Gene &c1, Gene &c2, const Gene &p1,
template <typename V, typename T>
void GeneticScheduler<V, T>::crossover(Gene &c1, Gene &c2, const Gene &p1,
const Gene &p2)
{
Gene buf;
@ -268,8 +268,8 @@ void GeneticScheduler<T>::crossover(Gene &c1, Gene &c2, const Gene &p1,
}
}
template <typename T>
void GeneticScheduler<T>::mutation(Gene &m, const Gene &c)
template <typename V, typename T>
void GeneticScheduler<V, T>::mutation(Gene &m, const Gene &c)
{
Gene buf;
std::uniform_int_distribution<unsigned int> dis(0, c.size() - 1);
@ -298,8 +298,8 @@ void GeneticScheduler<T>::mutation(Gene &m, const Gene &c)
}
}
template <typename T>
void GeneticScheduler<T>::benchmarkCrossover(const unsigned int nIt)
template <typename V, typename T>
void GeneticScheduler<V, T>::benchmarkCrossover(const unsigned int nIt)
{
Gene p1, p2, c1, c2;
double neg = 0., eq = 0., pos = 0., total;