/// <summary>
/// Runs the genetic algorithm until we found a solution
/// </summary>
/// <param name="population">The initial population.</param>
/// <param name="selection">The selection operator .</param>
/// <param name="fitnessCalculator">The fitness calculator</param>
public void Run(Population population, ISelection selection, IFitness fitnessCalculator, IGenerationCallback callback)
{
int generation = 0;
while (!population.Finished)
{
callback.OnStart(generation);
// calculate fitness of all chromosones in the population
population.Calculate(fitnessCalculator, generation);
double bestFitness = population[0].Fitness;
// create a new popuplation based on the current population
population = selection.CreateNewPopulation(population, _elite, _mutate, _crossover, _diversify);
callback.OnEnd(generation, bestFitness);
generation++;
}
}
