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《Journal of Chongqing University(Natural Science Edition)》 2003-09
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Immune Algorithm and Its Application to Multi-modal Function Optimization Based on Immune Response Principle

ZHANG Zhuhong1,2, HUANG Xiyue1(1. College of Automation, Chongqing University, Chongqing 400044,China;2. Deparetment of Mathmaticsa, Guizhou University, Guizhou 550025,China)  
An immune algorithm, applied to multi-modal function optimization, is proposed based on real decoding and niche and immune response principle of the immune system to be compared with GA. Its key is to design evaluating rule for antibodies and affinition mutation operator, and introduce niching technology to strength population diversity. It has such properties as determining population size automatically, parallel search optimum, strong robustness, and so forth. Besides, its convergence is proved. Simulation shows that the algorithm is better than the algorithm REGA, which hints that immune algorithms are a potential research area.
【CateGory Index】: O241
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