DocumentCode :
478041
Title :
Theoretic Analysis 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 :
384
Lastpage :
387
Abstract :
The complete convergence problem of multi-modal immune algorithms (MIA) is theoretically proposed, and the implementation forms of typical immune operators in MIA are designed. Using the Markov chain theories, the complete convergence conclusion of MIA is proved via formalized definition, mechanism analysis and mathematical reasoning, the stability, convergent speed and computational complexity of the algorithm are analyzed too, so the theory foundation of MIA is formed basically.
Keywords :
Markov processes; computational complexity; convergence; evolutionary computation; mathematical operators; optimisation; Markov chain theory; computational complexity; convergence problem; evolutionary mechanism; mathematical reasoning; multimodal immune algorithm; Algorithm design and analysis; Computational complexity; Convergence; Genetic algorithms; Genetic mutations; Information analysis; Information science; Random number generation; Stability analysis; Stochastic processes; Evolutionary computation; complete convergence; computational complexity; multi-mod immune algorithm;
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.2008.530
Filename :
4666874
Link To Document :
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