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A chaos search immune algorithm with its application to neuro-fuzzy controller design
Zuo, XQ ; Fan, YS
2010-05-06 ; 2010-05-06 ; OCT
关键词GENETIC ALGORITHM OPTIMIZATION Mathematics, Interdisciplinary Applications Physics, Multidisciplinary Physics, Mathematical
中文摘要In this paper, a chaos search immune algorithm (CSIA) is proposed by integrating the chaos optimization algorithm and the clonal selection algorithm. First, optimization variables are expressed by chaotic variables through solution space transformation. Then, taking advantages of the ergodic and stochastic properties of chaotic variables, a chaos search is performed in the neighbourhoods of high affinity antibodies to exploit local solution space, and the motion of the chaotic variables in their ergodic space is used to explore the whole solution space. Furthermore, a generalized radial basis function neuro-fuzzy controller (GRBFNFC) is constructed and designed automatically by the proposed CSIA. Application of the CSIA-designed GRBFNFC to real-time control of an inverted pendulum system is discussed. Experimental results demonstrate that the designed GRBFNFC has very satisfactory performance. (c) 2005 Elsevier Ltd. All rights reserved.
语种英语 ; 英语
出版者PERGAMON-ELSEVIER SCIENCE LTD ; OXFORD ; THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
内容类型期刊论文
源URL[http://hdl.handle.net/123456789/9041]  
专题清华大学
推荐引用方式
GB/T 7714
Zuo, XQ,Fan, YS. A chaos search immune algorithm with its application to neuro-fuzzy controller design[J],2010, 2010, OCT.
APA Zuo, XQ,&Fan, YS.(2010).A chaos search immune algorithm with its application to neuro-fuzzy controller design..
MLA Zuo, XQ,et al."A chaos search immune algorithm with its application to neuro-fuzzy controller design".(2010).
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