Introduction - If you have any usage issues, please Google them yourself
Referred to the ergodicity of chaos and immune network theory, an immune chaotic network algorithm for
multimodal function optimization was proposed. The rule of chaotic motion was used to search the best antibodies in different peak regions in order to enhance the capacity of local search. The strategy of network suppression was adopted to maintain the diversity of population. Under the action of network supplement mechanism, the scale of antibody population was adjusted to adapt different types of multimodal function. Simulation results show that the algorithm can not only improve population diversity effectively, but also keep the dynamic balance between global search and local search well. Therefore, it has excellent optimization performance to multimodal function.