Title :
Clonal Selection Algorithm with Hyper Mutation and Spatial Clone Extension
Author :
Jin, Zongxin ; Liu, Guangyuan ; Wen, Wanhui
Author_Institution :
Fac. of Comput. & Inf. Sci., Southwest Univ., Chongqing
Abstract :
In this paper, hyper mutation and spacial clone extension to antibody was introduced to the basic clonal selection algorithm mode (BCSA) in order to overcome premature convergence and stagnation at the end stage of iterative optimization. Compared to other intelligent algorithms and the BCSA after testing several typical benchmark problems, the clonal selection algorithm with hyper mutation and spatial clone extension (HSCSA) indeed managed to improve the ability of searching the global optimum and yielded superior results
Keywords :
convergence; genetic algorithms; search problems; clonal selection algorithm; hyper mutation; intelligent algorithms; iterative optimization; premature convergence; spatial clone extension; stagnation; Biology computing; Cloning; Computational and artificial intelligence; Computer networks; Convergence; Genetic mutations; Immune system; Information science; Iterative algorithms; Testing;
Conference_Titel :
Computational Intelligence and Security, 2006 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
1-4244-0605-6
Electronic_ISBN :
1-4244-0605-6
DOI :
10.1109/ICCIAS.2006.294163
