public double fitnessFromPrior(Gene guess)
{
var fitness = 0.0D;
for (var i = 0; i < nGuesses; ++i)
{
var result = calcFitness(guess.value, i);
var comparisonScore = compareToPredecessor(result, i);
fitness += comparisonScore / 4.0D;
}
fitness += 0.1D;
return(fitness);
}
public List <Gene> Crossover(Gene parent2)
{
var p1a = this.value.Substring(0, value.Length - crossover);
var p1b = this.value.Substring(value.Length - crossover, value.Length - p1a.Length);
var p2a = parent2.value.Substring(0, value.Length - crossover);
var p2b = parent2.value.Substring(value.Length - crossover, value.Length - p2a.Length);
var child1 = new Gene(p1a + p2b);
var child2 = new Gene(p2a + p1b);
child1.crossover = this.crossover;
child2.crossover = this.crossover;
return(new List <Gene>()
{
child1, child2
});
}
private List <Gene> generateTestPopulation()
{
List <Gene> pop = new List <Gene>();
List <string> codes = new List <string>();
for (var i = 0; i < popSize; ++i)
{
Gene code = null;
while (code == null || codes.Contains(code.value))
{
code = new Gene(puzzleBoard.generateCodes());
}
codes.Add(code.value);
code.crossover = 2;
code.fitness = puzzleBoard.fitnessFromPrior(code);
pop.Add(code);
}
pop.Sort((x, y) => y.fitness.CompareTo(x.fitness));
pop = generation(pop);
return(pop);
}
/// <summary>
/// Set the entity to the values of the gene.
/// </summary>
/// <param name="gene">The gene to get values from.</param>
public void SetNextGene(Gene gene)
{
jumpPower = gene.jumpPower;
rotation = gene.rotation;
}
/// <summary>
/// Set a gene at specific index.
/// </summary>
/// <param name="index">The index we want to insert to.</param>
/// <param name="gene">The gene we want to insert.</param>
public void SetGene(int index, Gene gene)
{
genes.Insert(index, gene);
}