DocumentCode
478017
Title
Research of Multi-modal Immune Algorithm
Author
Yang, Kongyu ; Gao, Binbin ; Liang, Yan
Author_Institution
Beijing Inf. Sci. & Technol. Univ., Beijing
Volume
1
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
222
Lastpage
226
Abstract
Based on the intelligent mechanisms and several typical mathematical models which are abstracted from the immune system, a model framework for general multi-modal optimization immune algorithms (MIA) is proposed. According to this framework, a kind of real MIA is designed. Plentiful simulation experiments for the algorithm are performed and compared with similar algorithms respectively, and the results show that it has better validity, adaptability and less computational quantity.
Keywords
artificial immune systems; genetic algorithms; immune system evolution; intelligent mechanisms; multimodal optimization immune algorithms; Computational intelligence; Computational modeling; Convergence; Decoding; Evolution (biology); Genetic algorithms; Genetic mutations; Immune system; Mathematical model; Optimization methods; Evolutionary computation; adaptive MIA; immune algorithm; multi-modal optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location
Jinan
Print_ISBN
978-0-7695-3304-9
Type
conf
DOI
10.1109/ICNC.2008.529
Filename
4666843
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