A NOVEL CLONAL SELECTION ALGORITHM AND ITS APPLICATION

被引：6
|
作者：
Zhao, Ming-Yuan [1 ]
Tang, Ke [1 ]
Lu, Gang [1 ]
Zhou, Ming-Tian [1 ]
Fu, Chong [1 ]
Yang, Fan [1 ]
Wang, Cheng-Gong [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Comp Sci & Technol, Chengdu 610054, Peoples R China
来源：
2008 INTERNATIONAL CONFERENCE ON APPERCEIVING COMPUTING AND INTELLIGENCE ANALYSIS (ICACIA 2008) | 2008年
关键词：
Antibody model; characteristic antibody set; travelling salesman problem; novel clonal selection algorithm;
D O I：
10.1109/ICACIA.2008.4770049
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In order to improve some fundamental problems of the clonal selection algorithm (CSA), a novel clonal selection algorithm (NCSA) is proposed. After analyzing the mechanism of the clonal selection and proposing the antibody model, the basic character of the application problem fused into the NCSA based on rearrangements of antibody molecule coding genes. Next, we analyzed synthetically the antibody-antigen affinity and the antibody-antibody affinity. Through contrast experiments between the NCSA and the CSA to solve travelling salesman problem (TSP), it is shown that the NCSA has better performances.
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页码：385 / 388
页数：4
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