Artificial Immune Algorithm Based on Idiotypic-Network Dynamic Model

Journal of South China University of Technology (Natural Science Edition) ›› 2006, Vol. 34 ›› Issue (1): 62-65,72.

• Electronics, Communication & Automation Technology • Previous Articles Next Articles

Artificial Immune Algorithm Based on Idiotypic-Network Dynamic Model

Tan Guang-xing Li Zhong-hua Mao Zong-yuan

College of Automation Science and Engineering,South China Univ.of Tech.,Guangzhou 510640,Guangdong,China

Received:2005-03-07 Online:2006-01-25 Published:2006-01-25
Contact: 谭光兴(1965-)，男，博士生，主要从事人工免疫算法、人工智能理论方面的研究 E-mail:gxtan@163.com
About author:谭光兴(1965-)，男，博士生，主要从事人工免疫算法、人工智能理论方面的研究
Supported by:
广州市科技攻关引导项目(2003Z3-190091)

Abstract

Abstract:

To overcome the demerits in evaluating the similarity,the concentration and the antibody of the conven.tional artificial immune algorithm ,this paper proposes an improved artificial immune algorithm based on the idioty-pic-network dynamic model by defining the antibody concentration as the fitness.In the proposed algorithm,the in-formation about the function value and the similarity of antibody can be c0mprehensiveJy extracted by modifying the calculation method of afinity.Simulated results show that the improved algorithm is effective on the optimization of multi-mode function and is of better searching eficiency and higher convergence speed than the conventional Opt-aiNet algorithm.

Key words: artificial immune algorithm, dynamic model, idiotypic network, optimization

Tan Guang-xing Li Zhong-hua Mao Zong-yuan. Artificial Immune Algorithm Based on Idiotypic-Network Dynamic Model[J]. Journal of South China University of Technology (Natural Science Edition), 2006, 34(1): 62-65,72.

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Artificial Immune Algorithm Based on Idiotypic-Network Dynamic Model

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