An Improved Artificial Immune Algorithm with a Dynamic Threshold

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An Improved Artificial Immune Algorithm with a Dynamic Threshold

Zhang Qiao¹; Xu Xu²;Liang Yan-chun¹

1. Key Laboratory of Symbol Computation and Knowledge Engineering (Ministry of Education, P. R. China), Qianwei Campus, Jilin University, Changchun 130012, P. R. China
2. College of Mathematics, Qianwei Campus, Jilin University, Changchun 130012, P. R. China

Received:1900-01-01 Revised:1900-01-01 Online:2006-06-30 Published:1900-01-01
Contact: Liang Yan-chun

Abstract

Abstract:

An improved artificial immune algorithm with a dynamic threshold is presented. The calculation for the affinity function in the real-valued coding artificial immune algorithm is modified through considering the antibody’s fitness and setting the dynamic threshold value. Numerical experiments show that compared with the genetic algorithm and the originally real-valued coding artificial immune algorithm, the improved algorithm possesses high speed of convergence and good performance for preventing premature convergence.

Key words: dynamic threshold artificial immune algorithm, genetic algorithm, antibody

Zhang Qiao¹; Xu Xu²;Liang Yan-chun¹. An Improved Artificial Immune Algorithm with a Dynamic Threshold[J].J4, 2006, 3(2): 92-97.

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An Improved Artificial Immune Algorithm with a Dynamic Threshold

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