Clonal selection function optimization based on orthogonal experiment design

被引：4
作者：
Yu H. [1 ,2 ]
Jiao L.-C. [1 ,2 ]
Gong M.-G. [1 ,2 ]
Yang D.-D. [1 ,2 ]
机构：
[1] Institute of Intelligent Information Processing, Xidian University
[2] Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education, Xidian University
来源：
Ruan Jian Xue Bao/Journal of Software | 2010年 / 21卷 / 05期
关键词：
Artificial immune; Clonal selection algorithm; Evolutionary algorithm; Function optimization; Orthogonal experiment design;
D O I：
10.3724/SP.J.1001.2010.03472
中图分类号：
学科分类号：
摘要：
This paper presents a clonal selection operation: clonal selection operation based on orthogonal experiment design (CSO-OED). This design is later combined with the typical clonal selection operation and results in two algorithms: CSO+CSO-OED(I) adopting parallel mechanism and CSO+ CSO-OED(II) adopting series mechanism. The validation in 9 classical benchmark functions and 6 complex functions has showed that CSO-OED can not only maintain the diversity of population, but also help avoid premature. Implemented in CSO+CSO-OED(I) and CSO+CSO-OED(II), the strategy that separates the local search and global search can not only guarantee the convergence but also improve the accuracy of global solution and the robustness of the algorithm. © by Institute of Software, the Chinese Academy of Sciences. All rights reserved.
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页码：950 / 967
页数：17
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