当前位置: 首页>>代码示例>>C#>>正文


C# World.Mutate方法代码示例

本文整理汇总了C#中World.Mutate方法的典型用法代码示例。如果您正苦于以下问题:C# World.Mutate方法的具体用法?C# World.Mutate怎么用?C# World.Mutate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World的用法示例。


在下文中一共展示了World.Mutate方法的3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: MutateShouldCheckMutationChance

		public void MutateShouldCheckMutationChance()
		{
			// Arrange
			int worldSize = 4;
			int geneCount = 6;
			int swapPosition = 3;
			int crossOverChance = 0;
			int mutationChance = 0;
			RandomStub random = new RandomStub(0, 5);
			
			World world = new World(geneCount, worldSize, crossOverChance, mutationChance);

			Genome genome1 = Genome.FromString("000 111");
			Genome genome2 = Genome.FromString("111 001");
			world.Population.Add(genome1);
			world.Population.Add(genome2);

			// Act
			world.Mutate(random);
			string g1 = world.Population[0].ToString();
			string g2 = world.Population[1].ToString();

			// Assert
			Assert.That(g1, Is.StringStarting("000 111"));
			Assert.That(g2, Is.StringStarting("111 001"));
		}
开发者ID:MalkavX,项目名称:SimpleGeneticAlgorithm,代码行数:26,代码来源:GATests.cs

示例2: NextGeneration

		public void NextGeneration()
		{
			// Arrange
			int worldSize = 4;
			int geneCount = 6;
			int crossOverChance = 30;
			int mutationChance = 5;
			World world = new World(geneCount, worldSize, crossOverChance, mutationChance);
			world.InitializePopulation();

			// Act
			int generation = 0;
			Genome champion = null;
			while (champion == null)
			{
				world.Mutate();
				world.CrossOver();
				world.NextGeneration();
				Console.WriteLine(world);

				generation++;
				champion = world.GetChampion();
			}

			Console.WriteLine("A new leader is born! generation {0} - {1}", generation, champion);
		}
开发者ID:MalkavX,项目名称:SimpleGeneticAlgorithm,代码行数:26,代码来源:GATests.cs

示例3: Mutate

		public void Mutate()
		{
			//
			// Arrange
			//
			int worldSize = 4;
			int geneCount = 6;
			int swapPosition = 3;
			int crossOverChance = 0;
			int mutationChance = 100;
			RandomStub random = new RandomStub(0, 5);
			
			World world = new World(geneCount, worldSize, crossOverChance, mutationChance);

			// - Two genomes:
			// 000 111
			// 111 001
			//
			// Mutate both using position 1 and 5:
			//
			// 0[0]0 11[1] = 0[1]0 11[0]
			// 1[1]1 00[1] = 0[1]0 11[1]

			Genome genome1 = Genome.FromString("000 111");
			Genome genome2 = Genome.FromString("111 001");

			world.Population.Add(genome1);
			world.Population.Add(genome2);

			string g1 = genome1.ToString();
			string g2 = genome2.ToString();

			// Act
			Console.WriteLine("Before:");
			Console.WriteLine(g1);
			Console.WriteLine(g2);
			world.Mutate(random);

			// Assert		
			string g1a = genome1.ToString();
			string g2a = genome2.ToString();

			Console.WriteLine("------");
			Console.WriteLine("After:");
			Console.WriteLine(g1a);
			Console.WriteLine(g2a);

			Assert.That(g1a, Is.StringStarting("100 110"));
			Assert.That(g2a, Is.StringStarting("111 001"));
		}
开发者ID:MalkavX,项目名称:SimpleGeneticAlgorithm,代码行数:50,代码来源:GATests.cs


注:本文中的World.Mutate方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。