private void FullRun()
{
RobbyWorld world = new RobbyWorld(10, 10, 0.5f);
IList <Reaction> rules = world.GenerateRandomRules();
int score = world.FullRun(200, rules);
Debug.Log(world.Log);
Debug.Log($"Final score = {score}");
}
private void Optimize()
{
System.Random random = new System.Random();
RobbyWorld world = new RobbyWorld(10, 10, 0.5f);
GeneticAlgorithm <Reaction> ga = new GeneticAlgorithm <Reaction>(
200,
0.9f,
0.1f,
() => new Ind <Reaction>(world.GenerateRandomRules()),
(new TournamentSelection <Reaction>(random)).Select,
(new OnePointCrossover <Reaction>(random)).Mate,
(new FlipEnumMutation <Reaction>(0.1f)).Mutate,
(ind) => { world.Reset(); ind.Fit = world.FullRun(200, ind.GenesView); },
random);
ga.Init();
Ind <Reaction> best = ga.Run(1000, float.PositiveInfinity);
Debug.Log($"Best fitness is {best.Fit}");
}