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81 lines
1.6 KiB
81 lines
1.6 KiB
#include "evolve.hpp"
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#include "utilities.hpp"
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#include <map>
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#include <iterator>
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#include <cmath>
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#include <iostream>
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static Score score(const std::vector<int>& goal, Genome const & genome){
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Score ss = 0;
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for(int i = 0; i < goal.size(); ++i) {
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Score error = goal[i] - genome.evaluate_on(i);
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ss += error * error;
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}
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return ss;
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}
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template <typename It, typename Dist>
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It advance2(It it, Dist d){
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std::advance(it, d);
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return it;
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}
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template <typename C>
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struct subrange_t {
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C & c;
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int s;
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subrange_t(C & c_, int s_)
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: c(c_), s(s_)
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{}
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auto begin(){ return advance2(c.begin(), s); }
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auto end(){ return c.end(); }
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auto begin() const { return advance2(c.begin(), s); }
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auto end() const { return c.end(); }
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};
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template <typename C>
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auto subrange(C & c, int start){
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return subrange_t<C>(c, start);
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}
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void Evolver::next_generation(){
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// evaluate (if needed)
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for(auto&& g : current_generation){
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if(g.second < 0) {
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g.second = score(goal, g.first);
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}
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}
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// pick best no worse than parent
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auto best = current_generation[0];
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for(auto&& g : current_generation){
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if(g.second <= best.second){
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best = g;
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}
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}
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// continue with the best as parent
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current_generation[0] = best;
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int count = 0;
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for(auto& g : subrange(current_generation, 1)){
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count++;
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g = best;
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for(int j = 0; j < count; ++j){
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while(!g.first.mutate_random_bit()){}
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}
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g.second = -1;
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}
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}
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Evolver create_evolver(size_t population_size, size_t genome_size){
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Evolver e;
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e.current_generation.reserve(population_size);
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for(size_t i = 0; i < population_size; ++i){
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e.current_generation.emplace_back(random_genome(genome_size), -1);
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}
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return e;
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}
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