Title :
Research of Multi-modal Immune Algorithm
Author :
Yang, Kongyu ; Gao, Binbin ; Liang, Yan
Author_Institution :
Beijing Inf. Sci. & Technol. Univ., Beijing
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;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.529
