private void simulate_Click(object sender, EventArgs e)
{
int damage = ComboSimulator.getComboDamage(comboTextBox.Text, movelist);
damageTextBox.Text = damage.ToString();
}
public void Start()
{
var w = new StreamWriter("C:\\Users\\Taylor\\source\\repos\\ComboProject\\ComboProject\\bin\\Debug\\genelog.csv");
int gen = 1;
// init chromosomes
var chromosome = new FloatingPointChromosome(
new double[] { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 },
new double[] { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 },
new int[] { 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20 },
new int[] { 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5 });
// gen population
var population = new Population(50, 100, chromosome);
// fitness function
var fitness = new FuncFitness((c) =>
{
var fc = c as FloatingPointChromosome;
var genes = fc.ToFloatingPoints();
string combo = combogen.generateGeneticCombo(genes, 0);
int damage = ComboSimulator.getComboDamage(combo, movelist);
w.WriteLine(string.Format("{0},{1},{2},,{3},{4},{5},{6},{7},{8},{9},{10},{11},{12}",
gen.ToString(),
combo,
damage.ToString(),
genes[0],
genes[1],
genes[2],
genes[3],
genes[4],
genes[5],
genes[6],
genes[7],
genes[8],
genes[9]));
w.Flush();
return(damage);
});
var selection = new EliteSelection();
var crossover = new UniformCrossover(0.5f);
var mutation = new ReverseSequenceMutation();
var termination = new FitnessStagnationTermination(5000);
var ga = new GeneticAlgorithm(
population,
fitness,
selection,
crossover,
mutation);
ga.Termination = termination;
ga.MutationProbability = 0.7f;
Console.WriteLine("Generation: combo = damage");
var latestFitness = 0.0;
ga.GenerationRan += (sender, e) =>
{
var bestChromosome = ga.BestChromosome as FloatingPointChromosome;
var bestFitness = bestChromosome.Fitness.Value;
if (bestFitness != latestFitness)
{
latestFitness = bestFitness;
string combo = combogen.generateGeneticCombo(bestChromosome.ToFloatingPoints(), 0);
Console.WriteLine("Generation {0,2}: {1} = {2}",
ga.GenerationsNumber,
combo,
bestFitness
);
}
gen++;
};
ga.Start();
Console.ReadKey();
}