Files
GeneticAlgo/inc/genetic.h

43 lines
1.8 KiB
C++

#include <vector>
#include <span>
namespace genetic {
template <class T> struct Strategy {
int num_threads; // Number of worker threads that will be evaluating cell
// fitness.
int num_retries; // Number of times worker threads will try to grab work pool
// lock before sleeping
int batch_size; // Number of cells a worker thread tries to evaluate in a row
// before locking the pool again.
int num_cells; // Size of the population pool
int num_generations; // Number of times (epochs) to run the algorithm
bool test_all; // Sets whether or not every cell is tested every generation
float test_chance; // Chance to test any given cell's fitness. Relevant only
// if test_all is false.
bool enable_crossover; // Cells that score well in the evaluation stage
// produce children that replace low-scoring cells
bool enable_crossover_mutation; // Mutations can occur after crossover
float crossover_mutation_chance; // Chance to mutate a child cell
int crossover_parent_num; // Number of unique high-scoring parents in a
// crossover call.
int crossover_children_num; // Number of children produced in a crossover
bool enable_mutation; // Cells may be mutated before fitness evaluation
float mutation_chance; // Chance to mutate cells before fitness evaluation
// User defined functions
T (*make_default_cell)();
void (*mutate)(T &cell);
void (*crossover)(const std::span<T> &parents, std::span<T> &out_children);
float (*fitness)(const T &cell);
};
template <class T> struct Stats {
std::vector<T> best_cell;
std::vector<float> average_fitness;
};
template <class T> Stats<T> run(Strategy<T>);
} // namespace genetic