Immune Clonal Selection Network

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• 作者：Haifeng Du ; Xiaoyi Jin ; Jian Zhuang ; Licheng Jiao ; Sun’an Wang
• 刊名：Lecture Notes in Computer Science
• 出版年：2004
• 出版时间：2004
• 年：2004
• 卷：3339
• 期：1
• 全文大小：192 KB
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

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.