文件名称:Article_Demo1
- 所属分类:
- matlab例程
- 资源属性:
- [Windows] [Visual.Net] [源码]
- 上传时间:
- 2017-08-23
- 文件大小:
- 16kb
- 下载次数:
- 0次
- 提 供 者:
- FGG***
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this research paper we present an immunological algorithm (IA) to solve global numerical optimization problems for high-dimensional instances. Such optimization problems are a crucial component for many real-world applications. We designed two versions of the IA: the first based on binary-code representation and the second based on real values, called opt-IMMALG01 and opt-IMMALG, respectively. A large set of experiments is presented to evaluate the effectiveness of the two proposed versions of IA. Both opt-IMMAL
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下载文件列表
ImmuneSimulation\Antibody.cs
ImmuneSimulation\AssemblyInfo.cs
ImmuneSimulation\bin
ImmuneSimulation\bin\Debug
ImmuneSimulation\bin\Debug\ImmuneSimulation.exe
ImmuneSimulation\FitnessFunction.cs
ImmuneSimulation\IAController.cs
ImmuneSimulation\ImmuneSimulation.csproj
ImmuneSimulation\ImmuneSimulation.sln
ImmuneSimulation\MainForm.cs
ImmuneSimulation\MainForm.Designer.cs
ImmuneSimulation\MainForm.resx
ImmuneSimulation\Program.cs
ImmuneSimulation
ImmuneSimulation\AssemblyInfo.cs
ImmuneSimulation\bin
ImmuneSimulation\bin\Debug
ImmuneSimulation\bin\Debug\ImmuneSimulation.exe
ImmuneSimulation\FitnessFunction.cs
ImmuneSimulation\IAController.cs
ImmuneSimulation\ImmuneSimulation.csproj
ImmuneSimulation\ImmuneSimulation.sln
ImmuneSimulation\MainForm.cs
ImmuneSimulation\MainForm.Designer.cs
ImmuneSimulation\MainForm.resx
ImmuneSimulation\Program.cs
ImmuneSimulation