public static void FindBestStrategyForGame(GameConfig gameConfig)
{
var initialDescription = new PickByPriorityDescription(new CardAcceptanceDescription[]
{
new CardAcceptanceDescription( Cards.Province, new MatchDescription[] { new MatchDescription( null, CountSource.None, Comparison.None, 0)}),
new CardAcceptanceDescription( Cards.Gold, new MatchDescription[] { new MatchDescription( null, CountSource.None, Comparison.None, 0)}),
new CardAcceptanceDescription( Cards.Silver, new MatchDescription[] { new MatchDescription( null, CountSource.None, Comparison.None, 0)})
});
Random random = new Random();
Card[] supplyCards = gameConfig.GetSupplyPiles(2, random).Select(pile => pile.ProtoTypeCard).ToArray();
var initialPopulation = Enumerable.Range(0, 10).Select(index => initialDescription).ToArray();
var algorithm = new GeneticAlgorithm<PickByPriorityDescription, MutatePickByPriorityDescription, CompareStrategies>(
initialPopulation,
new MutatePickByPriorityDescription(random, supplyCards),
new CompareStrategies(),
new Random());
for (int i = 0; i < 1000; ++i)
{
System.Console.WriteLine("Generation {0}", i);
System.Console.WriteLine("==============", i);
for (int j = 0; j < 10; ++j)
{
algorithm.currentMembers[j].Write(System.Console.Out);
System.Console.WriteLine();
}
algorithm.RunOneGeneration();
System.Console.WriteLine();
}
}
public static void FindBestStrategyForGame(GameConfig gameConfig)
{
var initialDescription = new PickByPriorityDescription(new CardAcceptanceDescription[]
{
new CardAcceptanceDescription(Cards.Province, new MatchDescription[] { new MatchDescription(null, CountSource.None, Comparison.None, 0) }),
new CardAcceptanceDescription(Cards.Gold, new MatchDescription[] { new MatchDescription(null, CountSource.None, Comparison.None, 0) }),
new CardAcceptanceDescription(Cards.Silver, new MatchDescription[] { new MatchDescription(null, CountSource.None, Comparison.None, 0) })
});
Random random = new Random();
Card[] supplyCards = gameConfig.GetSupplyPiles(2, random).Select(pile => pile.ProtoTypeCard).ToArray();
var initialPopulation = Enumerable.Range(0, 10).Select(index => initialDescription).ToArray();
var algorithm = new GeneticAlgorithm.GeneticAlgorithmPopulationAgainstSelf <PickByPriorityDescription, MutatePickByPriorityDescription, ComparePickByPriorityDescription>(
initialPopulation,
new MutatePickByPriorityDescription(random, supplyCards),
new ComparePickByPriorityDescription(),
new Random());
for (int i = 0; i < 1000; ++i)
{
System.Console.WriteLine("Generation {0}", i);
System.Console.WriteLine("==============", i);
for (int j = 0; j < 10; ++j)
{
algorithm.currentMembers[j].Write(System.Console.Out);
System.Console.WriteLine();
}
algorithm.RunOneGeneration();
System.Console.WriteLine();
}
}
