public static PlayerAction FindBestBigMoneyWithCardVsStrategy(PlayerAction playerAction, Card card, bool logProgress = false)
{
Random random = new Random();
var initialPopulation = Enumerable.Range(0, 10).Select(index => new BigMoneyWithCardDescription(card)).ToArray();
var algorithm = new GeneticAlgorithm.GeneticAlgorithmAgainstConstant<BigMoneyWithCardDescription, MutateDescriptionFromParameters, CompareBigMoneyWithCardDescription>(
initialPopulation,
new MutateDescriptionFromParameters(random),
new CompareBigMoneyWithCardDescription(playerAction),
new Random());
BigMoneyWithCardDescription result = new BigMoneyWithCardDescription(card);
double maxScore = -100;
double lastMaxScore = maxScore;
int countScoreUnchanged = 0;
for (int i = 0; i < 1000; ++i)
{
if (logProgress)
{
System.Console.WriteLine("Generation {0}", i);
System.Console.WriteLine("==============", i);
}
algorithm.RunOneGeneration();
for (int j = 0; j < 10; ++j)
{
double currentScore = algorithm.nextMembers[j].species.GetScoreVs(playerAction, showReport:logProgress);
if (currentScore > maxScore)
{
maxScore = currentScore;
result = algorithm.nextMembers[j].species;
}
if (logProgress)
{
algorithm.nextMembers[j].species.Write(System.Console.Out);
System.Console.WriteLine();
}
}
if (lastMaxScore == maxScore)
{
if (countScoreUnchanged++ >= 3)
break;
}
else
{
lastMaxScore = maxScore;
countScoreUnchanged = 0;
}
if (logProgress)
{
System.Console.WriteLine();
}
}
result.Write(System.Console.Out);
System.Console.WriteLine();
return result.ToPlayerAction();
}
public BigMoneyWithCardDescription Clone()
{
var result = new BigMoneyWithCardDescription(this.card, this.CloneParameters());
return result;
}
public BigMoneyWithCardDescription Clone()
{
var result = new BigMoneyWithCardDescription(this.card, this.CloneParameters());
return(result);
}
public static PlayerAction FindBestBigMoneyWithCardVsStrategy(object playerActionOrString, Card card, bool logProgress = false)
{
PlayerAction playerAction = Program.strategyLoader.GetPlayerAction(playerActionOrString);
Random random = new Random();
var initialPopulation = Enumerable.Range(0, 10).Select(index => new BigMoneyWithCardDescription(card)).ToArray();
var algorithm = new GeneticAlgorithm.GeneticAlgorithmAgainstConstant <BigMoneyWithCardDescription, MutateBigMoneyWithCardDescription, CompareBigMoneyWithCardDescription>(
initialPopulation,
new MutateBigMoneyWithCardDescription(random),
new CompareBigMoneyWithCardDescription(playerAction),
new Random());
BigMoneyWithCardDescription result = new BigMoneyWithCardDescription(card);
double maxScore = -100;
double lastMaxScore = maxScore;
int countScoreUnchanged = 0;
for (int i = 0; i < 1000; ++i)
{
if (logProgress)
{
System.Console.WriteLine("Generation {0}", i);
System.Console.WriteLine("==============", i);
}
algorithm.RunOneGeneration();
for (int j = 0; j < 10; ++j)
{
double currentScore = algorithm.nextMembers[j].species.GetScoreVs(playerAction, showReport: logProgress);
if (currentScore > maxScore)
{
maxScore = currentScore;
result = algorithm.nextMembers[j].species;
}
if (logProgress)
{
algorithm.nextMembers[j].species.Write(System.Console.Out);
System.Console.WriteLine();
}
}
if (lastMaxScore == maxScore)
{
if (countScoreUnchanged++ >= 3)
{
break;
}
}
else
{
lastMaxScore = maxScore;
countScoreUnchanged = 0;
}
if (logProgress)
{
System.Console.WriteLine();
}
}
result.Write(System.Console.Out);
System.Console.WriteLine();
return(result.ToPlayerAction());
}