/// <summary>
/// Starts, and handles, the evolution.
/// </summary>
/// <returns>The best individual at the end of the evolution.</returns>
public Evolvable Evolve()
{
for (var i = 0; i < this.NumberOfGenerations; i++)
{
var candidates = this.SelectParents();
this.SpawnChildren(candidates);
this.EvaluatePopulation();
this.SelectPopulationForNextGeneration();
}
Evolvable best = null;
foreach (var individual in this.Population)
{
if (best == null)
{
best = individual;
}
if (individual.Fitness > best.Fitness)
{
best = individual;
}
}
return(best);
}
/// <summary>
/// Creates a recombination between this object and other.
/// </summary>
/// <param name="other">The object to recombine with this object. Must be an EvolvableDoubleArray.</param>
/// <returns>A recombination between the two objects.</returns>
public override Evolvable SpawnRecombination(Evolvable other)
{
if (other.GetType() != this.GetType())
{
return(this);
}
var tempOther = (EvolvableDoubleArray)other;
var tempDArray = new EvolvableDoubleArray(this.MutationChance, this.Random);
var tempArray = new double[this.Numbers.Length];
for (int i = 0; i < this.Numbers.Length; i++)
{
tempArray[i] = ((this.Numbers[i] + tempOther.Numbers[i]) / 2) + (this.Random.NextDouble() - 0.5);
}
tempDArray.SetNumbers(tempArray);
return(tempDArray);
}
/// <summary>
/// Starts, and handles, the evolution.
/// </summary>
/// <param name="sb">The string builder to write time to.</param>
/// <returns>The best individual at the end of the evolution.</returns>
public Evolvable Evolve(StringBuilder sb)
{
var sw = new Stopwatch();
sw.Start();
for (var i = 0; i < this.NumberOfGenerations; i++)
{
var candidates = this.SelectParents();
this.SpawnChildren(candidates);
this.EvaluatePopulation();
this.SelectPopulationForNextGeneration();
sb.AppendLine(string.Format("\tIt took {0} ms to advance the evolution to generation {1}.", sw.ElapsedMilliseconds, i + 1));
var pop = this.Population.OrderByDescending(s => s.Fitness).ToList();
var average = this.Population.Sum(s => s.Fitness) / this.Population.Count;
sb.AppendLine(string.Format("\t\t The highest fitness in the population is {0}", pop[0].Fitness));
sb.AppendLine(string.Format("\t\t The average fitness in the population is {0}", average));
sb.AppendLine(string.Format("\t\t The lowest fitness in the population is {0}", pop[this.Population.Count - 1].Fitness));
sw.Restart();
}
Evolvable best = null;
foreach (var individual in this.Population)
{
if (best == null)
{
best = individual;
}
if (individual.Fitness > best.Fitness)
{
best = individual;
}
}
return(best);
}
/// <summary> /// Creates a recombination between this evolvable and other. /// </summary> /// <param name="other">The other evolvable to create a recombination with.</param> /// <returns>A recombination between this evolvable and other.</returns> public abstract Evolvable SpawnRecombination(Evolvable other);
/// <summary>
/// Combines this individual with another to form a new individual.
/// </summary>
/// <param name="other">The individual to combine with.</param>
/// <returns>The newly formed individual.</returns>
public override Evolvable SpawnRecombination(Evolvable other)
{
throw new NotImplementedException();
}
