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
Link To Document :
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