private static Gene findBestGeneForTowerPattern(
int[] cannons,
int[] archers,
int length,
int preferredMoneyToSpend,
int generationPopulation,
int maximumCountOfGenerations,
int geneToTroopMean,
int lengthOfGene,
IScoringPolicy scoringPolicy,
bool printEvaluationLog)
{
Gene bestGene = null;
var simulator = new Simulator(length, turns, cannons, archers);
var gg = new GenerationGenerator(generationPopulation, lengthOfGene);
var generation = gg.RandomGeneration();
var archerString = towerLocationsToString(archers, length, "a");
var cannonString = towerLocationsToString(cannons, length, "c");
double lastBestScore = default;
var bestScoreCount = 0;
var bestScoreCountLimit = 30;
var st = new Stopwatch();
st.Start();
for (var i = 0; i < maximumCountOfGenerations; i++)
{
foreach (var gene in generation)
{
var result = simulator.Simulate(new MyGeneParser(gene));
gene.Score = scoringPolicy.CalculateTotalScore(result);
}
bestGene = Program.bestGene(generation);
if (printEvaluationLog)
{
var sortedGeneration = generation.OrderBy(x => x.Score).ToList();
logGenerationStatistics(length, generation, i, sortedGeneration, bestGene, archerString, cannonString, geneToTroopMean);
if (Console.KeyAvailable)
{
Console.ReadKey();
Console.ReadKey();
logGeneSimulationResult(simulator, bestGene, scoringPolicy, preferredMoneyToSpend, archerString, cannonString, geneToTroopMean, length);
Console.ReadKey();
}
}
if (bestGene.Score != null)
{
if (i == 0)
{
lastBestScore = bestGene.Score.Value;
bestScoreCount++;
}
else
{
if (bestGene.Score.Value.Equals(lastBestScore) && !bestGene.Score.Value.Equals(0))
{
bestScoreCount++;
}
else
{
lastBestScore = bestGene.Score.Value;
bestScoreCount = 1;
}
}
}
if (bestScoreCount >= bestScoreCountLimit)
{
if (printEvaluationLog)
{
logGeneSimulationResult(simulator, bestGene, scoringPolicy, preferredMoneyToSpend, archerString, cannonString, geneToTroopMean, length);
}
break;
}
if (i != maximumCountOfGenerations - 1)
{
generation = gg.Genetic(generation);
}
else
{
if (printEvaluationLog)
{
logGeneSimulationResult(simulator, bestGene, scoringPolicy, preferredMoneyToSpend, archerString, cannonString, geneToTroopMean, length);
}
}
}
st.Stop();
if (printEvaluationLog)
{
Console.WriteLine(st.Elapsed);
}
return(bestGene);
}
private static void logGeneSimulationResult(Simulator simulator, Gene bestGene, IScoringPolicy scoringPolicy,
int preferredMoneyToSpend, string archersString, string cannonsString, double geneToTroopMean, int length)
{
var result = simulator.Simulate(new MyGeneParser(bestGene), true, archersString, cannonsString);
Console.WriteLine();
Console.WriteLine();
Console.WriteLine("Results: ");
Console.WriteLine($"Damages to base: {result.DamagesToEnemyBase}");
Console.WriteLine($"Total money spent: {result.TotalPrice} with {preferredMoneyToSpend} prefered");
Console.WriteLine($"Score: {scoringPolicy.CalculateTotalScore(result)}");
Console.WriteLine($"Turns: {result.Turns}");
Console.WriteLine();
}
public SolutionMaker(ITowerStateMaker towerStateMaker, IScoringPolicy scoringPolicy)
{
this.towerStateMaker = towerStateMaker;
this.scoringPolicy = scoringPolicy;
}
