本文整理汇总了C#中Population.Count方法的典型用法代码示例。如果您正苦于以下问题：C# Population.Count方法的具体用法？C# Population.Count怎么用？C# Population.Count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.Count方法的2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: AdvanceGeneration
static Population AdvanceGeneration(Population population, ISelection selection, ICrossover crossover, IMutation mutation)
{
var chromosomes = new List<Chromosome>();
population = new Population(population.Take((int)(truncationRate * population.Count()))); // TRUNCATION
chromosomes.AddRange(population.Take((int)(elitismRate * chromosomeCount))); //ELITE (assuming that the chromosomes in the population are sorted by fitness (the fitter are at the top of the list)
do
{
Chromosome chosen1 = selection.Select(population),
chosen2 = selection.Select(population);
if (random.NextDouble() < crossoverRate)
{
var children = crossover.Crossover(chosen1, chosen2); // CROSSOVER
chosen1 = children.Item1;
chosen2 = children.Item2;
}
if (random.NextDouble() < mutationRate)
{
chosen1 = mutation.Mutate(chosen1); // MUTATION
}
if (random.NextDouble() < mutationRate)
{
chosen2 = mutation.Mutate(chosen2); // MUTATION
}
chromosomes.Add(chosen1);
chromosomes.Add(chosen2);
} while (chromosomes.Count < chromosomeCount);
return new Population(chromosomes);
}示例2: AdvancePopulation
public Population AdvancePopulation(Population population)
{
var chromosomes = new List<Chromosome>();
population = new Population(population.Take((int)(TruncationRate * population.Count()))); // TRUNCATION
do
{
Chromosome chosen1 = selection.Select(population),
chosen2 = selection.Select(population);
if (random.NextDouble() < CrossoverRate)
{
var children = crossover.Crossover(chosen1, chosen2); // CROSSOVER
chosen1 = children.Item1;
chosen2 = children.Item2;
}
if (random.NextDouble() < MutationRate)
{
chosen1 = mutation.Mutate(chosen1); // MUTATION
}
if (random.NextDouble() < MutationRate)
{
chosen2 = mutation.Mutate(chosen2); // MUTATION
}
chromosomes.Add(chosen1);
chromosomes.Add(chosen2);
} while (chromosomes.Count < ChromosomeCount);
return new Population(chromosomes);
}