Abstract
A novel process-monitor multimodal optimization algorithm, called Pmdcopt-aiNet is given. It is based on biological immune network mechanism for process-monitor global-numerical optimization. The Pmdcopt-aiNet models can clone the process-monitor operation using dynamic cloning operation which is adopted from biological immune network mechanism. The experiments based on the multimodal benchmarks were carried out to compare the performance of Pmdcopt-aiNet with that of other existing algorithms. The experimental results in process monitoring show that the new algorithm is capable of improving search performance significantly in successful rate and convergence speed when compared with the already existing method.
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