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biasedroulette.h
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biasedroulette.h
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#ifndef BIASEDROULETTE_H
#define BIASEDROULETTE_H
#include "algorithmoption.h"
#include "composition_helper.h"
/*
*Corresponds to the pairs of values in the roulette : 10%/5
*/
template<typename T>
class BiasedRoulette : public AlgorithmOption<T>
{
public:
BiasedRoulette(int);
virtual std::vector<T> & doOption(std::vector<T> &,std::function<bool(const T &, const T&)>,std::function<double(const T&)>) override;
};
template<typename T>
BiasedRoulette<T>::BiasedRoulette(int v):AlgorithmOption<T>(v)
{
}
template<typename T>
std::vector<T> & BiasedRoulette<T>::doOption(std::vector<T> & comps,std::function<bool(const T &,const T &)> compare,std::function<double(const T&)> evaluate)
{
unsigned int numberToKeep = comps.size()*AlgorithmOption<T>::value/100;
std::vector<T> toFillVec;
std::vector<int> probabilities;
for(unsigned int i = 0;i<comps.size();i++)
{
probabilities.push_back(comps.size()-i);
}
std::random_device rd;
std::mt19937 generator(rd());
std::discrete_distribution<int> distrib(probabilities.cbegin(),probabilities.cend());
while(toFillVec.size()!=numberToKeep)
{
int index = distrib(generator);
toFillVec.push_back(comps[index]);
}
// double totalDeviation = 0;
// double strength=0;
// for(const auto & possibility : toFillVec)
// {
// totalDeviation += std::abs(possibility.first.getValue()-possibility.second.getValue());
// strength+=possibility.first.getValue()+possibility.second.getValue();
// }
// std::cout << "TOTAL DEV BIASED: "<< totalDeviation <<std::endl;
// std::cout << "TOTAL STR BIASED: "<< strength <<std::endl;
// std::cout << "Number: "<< toFillVec.size() <<std::endl;
comps = std::move(toFillVec);
return comps;
}
#endif // BIASEDROULETTE_H