//private FitnessData fitnessData;
public Population(GAOptions GeneticAlgorithmOptions, bool runOnGpu = false)
{
options = GeneticAlgorithmOptions;
runInParallelGpu = runOnGpu;
init();
if (runInParallelGpu)
{
initGPU();
}
}
static void Main(string[] args)
{
StoppingCriteria criteria = new StoppingCriteria(StoppingCriteria.NUMBER_OF_GENERATIONS, 1000000);
GAOptions options = new GAOptions(10, (float)0.001, criteria);
geneticAlgorithm = new GA(options);
while (geneticAlgorithm.continueExecution)
{
geneticAlgorithm.run();
Console.WriteLine("Generation: " + geneticAlgorithm.updateInformation["GenerationNumber"]);
Console.WriteLine("Max Fitness: " + geneticAlgorithm.updateInformation["MaxPopulationFitness"]);
for (int i = 0; i < Fitness.nInputVars; i++)
{
Console.WriteLine("Var" + (i + 1) + ": " + geneticAlgorithm.updateInformation["Var" + (i + 1)]);
}
Console.WriteLine("-----");
}
Console.WriteLine("Genetic Algorithm has finished");
Console.ReadLine();
}
public GA(GAOptions ga_options)
{
options = ga_options;
init();
}
public Population(GAOptions GeneticAlgorithmOptions)
{
options = GeneticAlgorithmOptions;
init();
}
