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

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

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．