Description: 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
To Search:
File list (Check if you may need any files):
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
Download