private GeneDetailedResult GetGeneResult(TowerState towerState, Gene gene, int pathLength, int maximumTurns)
{
var simulator = new Simulator(pathLength, maximumTurns, towerState.Cannons, towerState.Archers);
var result = simulator.Simulate(new MyGeneParser(gene));
return(new GeneDetailedResult
{
Gene = gene,
NormalizedGene = gene.GenomesList.Select(x => MyGeneParser.GeneToTroopCount(x)).ToArray(),
Result = result,
});
}
private static void logGenerationStatistics(int length, List <Gene> generation, int generationNumber,
List <Gene> sortedGeneration, Gene bestGene, string archersString, string cannonsString, double geneToTroopMean)
{
Console.WriteLine($"Generation #{generationNumber + 1} finished. Statistics:");
Console.WriteLine($"\tMin score = {sortedGeneration.First().Score}");
Console.WriteLine($"\tAverage score = {generation.Average(x => x.Score)}");
Console.WriteLine($"\tMax score = {sortedGeneration.Last().Score}");
Console.WriteLine("\tBest gene: ");
Console.WriteLine($"archers: {archersString}");
Console.WriteLine($"cannons: {cannonsString}");
var creepGeneString = string.Join(", ", bestGene.GenomesList.GetRange(0, length).Select(x => MyGeneParser.GeneToTroopCount(x)));
var heroGeneString = string.Join(", ", bestGene.GenomesList.GetRange(length, length).Select(x => MyGeneParser.GeneToTroopCount(x)));
Console.WriteLine($"creeps: {creepGeneString}");
Console.WriteLine($"heros: {heroGeneString}");
Console.WriteLine();
Console.WriteLine();
}
