DocumentCode
2168372
Title
Immunity mix algorithm based on the continuous differential function
Author
Fang, Liu ; Chengyong, Yang
Author_Institution
Sch. of Comput. Sci. & Technol., Xidian Univ., Xi´´an, China
fYear
2003
fDate
27-30 Sept. 2003
Firstpage
302
Lastpage
307
Abstract
Based on the immunity clone strategy (ICS) and continue differential functions. Immunity mix algorithm (IMA) is brought forward in this paper. IMA mostly makes use of the advantages of classical optimization searches, and speedup the convergence. Astringency of ICOA is proved with the analysis process of genetic algorithm´s astringency. The advantage and disadvantage of immunity clone strategies is analyzed in this paper. Theories and experiments show that the speed of convergence of IMA is high.
Keywords
artificial life; differential equations; genetic algorithms; search problems; ICS; IMA; astringency; continuous differential function; convergence speed; genetic algorithm; immunity clone strategy; immunity mix algorithm; optimization search; Cloning; Computational intelligence; Genetic mutations;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Multimedia Applications, 2003. ICCIMA 2003. Proceedings. Fifth International Conference on
Print_ISBN
0-7695-1957-1
Type
conf
DOI
10.1109/ICCIMA.2003.1238142
Filename
1238142
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