public GeneticAlgorithm(double crossoverRate, double mutationRate, double elitism, double truncation, double chromosomeCount, ISelection selection, ICrossover crossover, IMutation mutation, FitnessCalculator fitnessCalculator)
{
CrossoverRate = crossoverRate;
MutationRate = mutationRate;
ElitismRate = elitism;
TruncationRate = truncation;
ChromosomeCount = chromosomeCount;
this.selection = selection;
this.mutation = mutation;
this.crossover = crossover;
this.fitnessCalculator = fitnessCalculator;
random = new Random();
}
static bool HandleCommandLineArgs(Game game, IEnumerable<string> args)
{
string fitnessType = "", crossoverType = "";
bool status = true;
options = new OptionSet
{
{"m|mutation=", "The mutation rate (0-1)", (double v) => mutationRate = v},
{"s|crossover=", "The crossover rate (0-1)", (double v) => crossoverRate = v},
{"e|elitism=", "The elitism rate (0-1)", (double v) => elitismRate = v},
{"c|crcount=", "The number of chromosomes per population (>1)", (int v) => chromosomeCount = v},
{"fitness=", "The fitness calculator [sum | levenshtein | hamming]", v => fitnessType = v},
{"ctype=", "The crossover type [one | two ]", v => crossoverType = v},
{"t|truncate=", "The rate of the chromosomes to keep from a population before advancing (0 < t <= 1)", (double v) => truncationRate = v},
{"?|h|help", "Show help", v => { status = false; }},
//{"<>", v => target = v} // this can be used for a seed
};
try
{
options.Parse(args);
}
catch (OptionException ex)
{
status = false;
}
fitness = (FitnessCalculator)Activator.CreateInstance(GetOperationType(fitnessTypes, fitnessType), new object[] { game });
crossover = (ICrossover)Activator.CreateInstance(GetOperationType(crossoverTypes, crossoverType), new object[] { fitness });
mutation = new SinglePointMutation(new ReplayCharacterSet(), fitness);
selection = new RouletteWheelSelection();
if (mutationRate > 1 || crossoverRate > 1 || elitismRate > 1 || chromosomeCount <= 1 || truncationRate <= 0 || truncationRate > 1)
{
status = false;
}
return status;
}
public OnePointCrossover(FitnessCalculator fitnessCalculator)
{
this.fitnessCalculator = fitnessCalculator;
random = new Random();
}
public Chromosome(Replay replay, FitnessCalculator fitnessCalculator)
{
Replay = replay;
Fitness = fitnessCalculator.CalculateFitness(this);
}
public SinglePointMutation(CharacterSet characterSet, FitnessCalculator fitnessCalculator)
{
this.fitnessCalculator = fitnessCalculator;
random = new Random();
this.characterSet = characterSet;
}
