add new selection, think there is a bug in elitsm
parent
fcd2d67852
commit
2081dd3e5f
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@ -1,5 +1,5 @@
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cmake_minimum_required(VERSION 3.25)
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cmake_minimum_required(VERSION 3.25)
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project(blt-gp VERSION 0.0.79)
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project(blt-gp VERSION 0.0.80)
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include(CTest)
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include(CTest)
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@ -38,6 +38,8 @@ namespace blt::gp
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double crossover_chance = 0.8;
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double crossover_chance = 0.8;
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// percent chance that we will do mutation
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// percent chance that we will do mutation
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double mutation_chance = 0.1;
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double mutation_chance = 0.1;
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// percent chance we will do reproduction (copy individual)
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double reproduction_chance = 0;
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// everything else will just be selected
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// everything else will just be selected
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blt::size_t elites = 0;
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blt::size_t elites = 0;
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@ -143,6 +145,12 @@ namespace blt::gp
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evaluation_size = s;
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evaluation_size = s;
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return *this;
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return *this;
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}
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}
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prog_config_t& set_reproduction_chance(double chance)
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{
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reproduction_chance = chance;
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return *this;
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}
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};
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};
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}
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}
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@ -262,7 +262,8 @@ namespace blt::gp
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mutation_selection.pre_process(*this, current_pop, current_stats);
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mutation_selection.pre_process(*this, current_pop, current_stats);
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reproduction_selection.pre_process(*this, current_pop, current_stats);
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reproduction_selection.pre_process(*this, current_pop, current_stats);
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func(get_selector_args(), std::forward<Crossover>(crossover_selection), std::forward<Mutation>(mutation_selection),
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auto args = get_selector_args();
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func(args, std::forward<Crossover>(crossover_selection), std::forward<Mutation>(mutation_selection),
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std::forward<Reproduction>(reproduction_selection));
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std::forward<Reproduction>(reproduction_selection));
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}
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}
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@ -38,15 +38,9 @@ namespace blt::gp
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random_t& random;
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random_t& random;
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};
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};
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template<typename Crossover, typename Mutation, typename Reproduction>
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constexpr inline auto perform_elitism = [](const selector_args& args) {
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constexpr inline auto default_next_pop_creator = [](
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selector_args&& args, Crossover&& crossover_selection, Mutation&& mutation_selection, Reproduction&& reproduction_selection) {
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auto& [program, next_pop, current_pop, current_stats, config, random] = args;
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auto& [program, next_pop, current_pop, current_stats, config, random] = args;
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double total_prob = config.mutation_chance + config.crossover_chance;
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double crossover_chance = config.crossover_chance / total_prob;
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double mutation_chance = crossover_chance + config.mutation_chance / total_prob;
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if (config.elites > 0)
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if (config.elites > 0)
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{
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{
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std::vector<std::pair<std::size_t, double>> values;
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std::vector<std::pair<std::size_t, double>> values;
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@ -77,6 +71,18 @@ namespace blt::gp
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for (blt::size_t i = 0; i < config.elites; i++)
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for (blt::size_t i = 0; i < config.elites; i++)
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next_pop.get_individuals().push_back(current_pop.get_individuals()[values[i].first]);
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next_pop.get_individuals().push_back(current_pop.get_individuals()[values[i].first]);
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}
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}
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};
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template<typename Crossover, typename Mutation, typename Reproduction>
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constexpr inline auto default_next_pop_creator = [](
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const selector_args& args, Crossover crossover_selection, Mutation mutation_selection, Reproduction reproduction_selection) {
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auto& [program, next_pop, current_pop, current_stats, config, random] = args;
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double total_prob = config.mutation_chance + config.crossover_chance;
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double crossover_chance = config.crossover_chance / total_prob;
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double mutation_chance = crossover_chance + config.mutation_chance / total_prob;
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perform_elitism(args);
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while (next_pop.get_individuals().size() < config.population_size)
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while (next_pop.get_individuals().size() < config.population_size)
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{
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{
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@ -125,6 +131,52 @@ namespace blt::gp
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}
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}
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};
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};
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template<typename Crossover, typename Mutation, typename Reproduction>
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constexpr inline auto non_deterministic_next_pop_creator = [](
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const blt::gp::selector_args& args, Crossover crossover_selection, Mutation mutation_selection, Reproduction reproduction_selection) {
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auto& [program, next_pop, current_pop, current_stats, config, random] = args;
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perform_elitism(args);
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while (next_pop.get_individuals().size() < config.population_size)
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{
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// everyone gets a chance once per loop.
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if (random.choice(config.crossover_chance))
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{
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// crossover
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auto& p1 = crossover_selection.select(program, current_pop, current_stats);
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auto& p2 = crossover_selection.select(program, current_pop, current_stats);
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auto results = config.crossover.get().apply(program, p1, p2);
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// if crossover fails, we can check for mutation on these guys. otherwise straight copy them into the next pop
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if (results)
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{
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next_pop.get_individuals().emplace_back(std::move(results->child1));
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// annoying check
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if (next_pop.get_individuals().size() < config.population_size)
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next_pop.get_individuals().emplace_back(std::move(results->child2));
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}
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}
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if (next_pop.get_individuals().size() >= config.population_size)
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break;
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if (random.choice(config.mutation_chance))
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{
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// mutation
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auto& p = mutation_selection.select(program, current_pop, current_stats);
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next_pop.get_individuals().emplace_back(std::move(config.mutator.get().apply(program, p)));
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}
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if (next_pop.get_individuals().size() >= config.population_size)
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break;
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if (config.reproduction_chance > 0 && random.choice(config.reproduction_chance))
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{
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// reproduction
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auto& p = reproduction_selection.select(program, current_pop, current_stats);
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next_pop.get_individuals().push_back(individual{p});
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}
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}
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};
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class selection_t
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class selection_t
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{
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{
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public:
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public:
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