public static void DisplayResults(GeneticAlgorithmHandler algorithmHandler)
{
Console.ForegroundColor = ConsoleColor.DarkRed;
Console.WriteLine("CurrentGeneration: " + algorithmHandler.CurrentGeneration);
Console.ForegroundColor = ConsoleColor.Gray;
for (int i = 0; i < TotalNumberOfNetworksToDisplayEachGeneration && i < algorithmHandler.NetworkList.Count; i++)
{
int lastCurrentDataSet = 0;
if (algorithmHandler.CurrentDataSets?.Count > 0)
{
lastCurrentDataSet = algorithmHandler.CurrentDataSets.Last();
}
double[] expectedArray = algorithmHandler.ExpectedList[lastCurrentDataSet];
DisplayResult(algorithmHandler.NetworkList[i], expectedArray);
}
}
private static void Main()
{
InitializeLists();
NetworkCreator networkCreator = new NetworkCreator(inputLayerSize, HIDDEN_LAYERSIZE, outputLayerSize, NETWORK_AMOUNT, rand);
networkList = networkCreator.NetworkList;
GeneticAlgorithmHandler algorithmHandler = new GeneticAlgorithmHandler(rand, networkList)
{
InputList = inputList,
ExpectedList = expectedList,
MutationChance = MUTATION_CHANCE,
MutationRate = MUTATION_RATE,
NumberOfNetworksToKeep = NUMBER_OF_NETWORKS_TO_KEEP,
NumberOfDataSetsPerCycle = NUMBER_OF_DATASETS_PER_CYCLE,
};
NetworkOutputDisplayer.TotalNumberOfNetworksToDisplayEachGeneration = TOTAL_NUMBER_OF_NETWORKS_TO_DISPLAY_EACH_GENERATION;
NetworkOutputDisplayer.DisplayResults(algorithmHandler);
for (int i = 0; i < TOTAL_GENERATIONS_TO_CALCULATE; ++i)
{
algorithmHandler.IterateNetworks(1);
NetworkOutputDisplayer.DisplayResults(algorithmHandler);
}
Network bestNetwork = algorithmHandler.NetworkList[0];
while (true)
{
Console.WriteLine("Enter a number");
double[] inputValues = new double[] { Convert.ToDouble(Console.ReadLine()) };
double[] expectedValues = new double[] { inputValues[0] % 2 == 0 ? 1 : 0, inputValues[0] % 2 == 1 ? 1 : 0 };
bestNetwork.SetInputs(inputValues);
bestNetwork.Propagate();
NetworkOutputDisplayer.DisplayResult(bestNetwork, expectedValues);
}
}
