An Improved Version of opt-aiNet Algorithm(I-opt-aiNet) for Function Optimization

摘要

This paper presents an improved version of opt-aiNet, which is an algorithm for multimodal function optimization based on the natural immune system metaphor. The proposed algorithm has some major and minor changes on the way the clonal selection principle is applied within the original opt-aiNet algorithm which allows for fast localization of the optima. The output of the proposed algorithm is tested on the same data as the original opt-aiNet and the results show the validity of the new improved one.