static void Main(string[] args)
{
// trying to make the word "abracadabra"
const string target = "dog";
var evaluator = new FitnessEvaluator(target);
var random = new Random();
var generator = new Generator(random);
const int Total = 100;
var population = new Population <string>(Total, generator, evaluator);
var mutator = new Mutator(state =>
{
var count = state.Chromosomes.Length / 20;
return(count > 0 ? count : 1);
}, evaluator);
var crossOver = new SinglePointCrossOver(random, evaluator,
state =>
{
return(state.Chromosomes.Length / 10);
});
var selector = new UniqueChromosomeSelector(evaluator, 10, Total);
var killer = new ChromosomeKiller(state =>
{
if (state.Chromosomes.Length < 5)
{
return(0);
}
return(state.Chromosomes.Length / 5);
});
var solution = new Solution();
var geneticAlgorithm = new GeneticAlgorithmBuilder <string>()
.SetPopulation(population.Chromosomes)
.SetMutationRate(0.05)
.SetMutator(mutator)
.SetCrossOver(crossOver)
.SetKiller(killer)
.Build();
for (var i = 0; i < 9999; i++)
{
var state = geneticAlgorithm.Step();
if (state.Best.Genes == target)
{
Console.WriteLine("success!");
}
}
}
static void Main(string[] args)
{
// trying to make the word "abracadabra"
var evaluator = new FitnessEvaluator("abracadabra");
var random = new Random();
var generator = new Generator(random);
const int Total = 100;
var population = new Population <string>(Total, generator, evaluator);
var fitnessDict = new Dictionary <Chromosome <string>, double>();
var mutator = new Mutator();
var crossOver = new SinglePointCrossOver(random, evaluator);
var selector = new Selector(evaluator, 10, Total);
var killer = new ChromosomeKiller(5);
var solution = new Solution();
var geneticAlgorithm = new GeneticAlgorithmBuilder <string>()
.SetPopulation(population)
.SetFitnessEvaluator(evaluator)
.SetGenerations(150000)
.SetMutationRate(0.05)
.SetMutator(mutator)
.SetCrossOver(crossOver)
.SetSelection(selector)
.SetKiller(killer)
.SetSolution(solution)
.Build();
geneticAlgorithm.BeforeRun += GeneticAlgorithm_BeforeRun;
geneticAlgorithm.AfterRun += GeneticAlgorithm_AfterRun;
geneticAlgorithm.OnSolution += GeneticAlgorithm_OnSolution;
geneticAlgorithm.Run();
}