本文整理汇总了C#中Population.ElementAt方法的典型用法代码示例。如果您正苦于以下问题：C# Population.ElementAt方法的具体用法？C# Population.ElementAt怎么用？C# Population.ElementAt使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Population的用法示例。
在下文中一共展示了Population.ElementAt方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: Main
static void Main(string[] args)
{
const int replayLength = 750;
//IReplayGenerator replayGenerator = new FromStringReplay("AAAA AAAA AAAA AAAA AAAA AAAA AAAA AAAA AAAA AAAA AAAA A");
IReplayGenerator replayGenerator = new RandomReplayGenerator(new ReplayCharacterSet(), replayLength);
var game = new Game();
if (!HandleCommandLineArgs(game, args))
{
ShowHelp(options);
return;
}
Console.WriteLine("Mutation Rate: {0}%", mutationRate * 100);
Console.WriteLine("Crossover Rate: {0}%", crossoverRate * 100);
Console.WriteLine("Truncation Rate: {0}%", truncationRate * 100);
Console.WriteLine("Chromosomes / population: {0}", chromosomeCount);
Console.WriteLine("Elitism / population: {0} ({1}%)", elitismRate * chromosomeCount, elitismRate);
Console.WriteLine("Fitness Calculator: {0}", fitness);
Console.WriteLine("Crossover Type: {0}", crossover);
Console.WriteLine();
//game.Start(new Replay("AAAA A00A AAAA AAAA AAA2 8000 AAAA AAAA AAAA AAAA AAAA AAAA AAAA AAAA AAAA AAAA AAAA"));
var fitnessCalculator = new HighestScoreFitnessCalculator(game);
var ga = new GeneticAlgorithm(0.6, 0.25, 0.1, 0.8, chromosomeCount,
new RouletteWheelSelection(),
new OnePointCrossover(fitnessCalculator),
new SinglePointMutation(new ReplayCharacterSet(),fitnessCalculator),
fitnessCalculator);
Console.WriteLine(DateTime.Now);
Population population = new Population(GenerateRandomReplays(replayGenerator, chromosomeCount), fitnessCalculator);
int generation = 1;
while(true)
{
var bestOne = population.ElementAt(0);
Console.WriteLine("Generation {0}", generation++);
Console.WriteLine("Top fitness: {0}", bestOne.Fitness);
Console.WriteLine("Replay: {0}\n", bestOne.Replay);
population = ga.AdvancePopulation(population);
}
}