Immune clonal selection network

Authors:
Haifeng Du;Xiaoyi Jin;Jian Zhuang;Licheng Jiao;Sun'an Wang
Affiliations:
Institute of Intelligent Information Processing, Xidian University, Xi'an, China;Institute for Population and Development Studies, Xi'an Jiaotong University, Xi'an, China;Industry Training Center, Xi'an Jiaotong University, Xi'an, China;Institute of Intelligent Information Processing, Xidian University, Xi'an, China;Industry Training Center, Xi'an Jiaotong University, Xi'an, China
Venue:
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Year:
2004

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Abstract

Based on the Antibody Clonal Selection Theory of immunology, the general steps of ICSA (Immune Clonal Selection Algorithm) are presented in this paper The network framework of ICSA is put forward, and the dynamic characters of ICSA are analyzed based on the Lyapunov theory Then, this paper gives a novel Artificial Immune System Algorithm, Pseudo- Grads Hybrid Immune Clonal Selection Network (GHICSN) The simulation results of some functions optimization indicate that GHICSN improves the performance of ICSA to some extent.