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DOI:
Journal of Software:2010.21(5):950-967

基于正交试验设计的克隆选择函数优化
余航,焦李成,公茂果,杨咚咚
(西安电子科技大学 智能信息处理研究所,陕西 西安 710071 西安电子科技大学 智能感知与图像理解教育部重点实验室,陕西 西安 710071)
Clonal Selection Function Optimization Based on Orthogonal Experiment Design
YU Hang,JIAO Li-Cheng,GONG Mao-Guo,YANG Dong-Dong
()
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Received:May 06, 2008    Revised:September 18, 2008
> 中文摘要: 将正交试验设计引入到克隆选择操作中,设计出基于正交试验的克隆选择操作(clonal selection operation based on orthogonal experiment design,简称CSO-OED),并将其加入到典型的克隆选择算法中,设计出并联式的 CSO+CSO-OED(I)算法和串联式的CSO+CSO-OED(II)算法.将新设计的算法用于9 个经典的测试函数和6 个复杂 的测试函数进行对比测试,实验结果表明,CSO-OED 能够有效地保持种群的多样性,避免算法不成熟收 敛.CSO+CSO-OED(I)和CSO+CSO-OED(II)将全局搜索和局部搜索分开进行优化,对比实验表明,这种搜索策略不 但能够保证算法的收敛性,还能有效地提高搜索解的精度,增强算法的鲁棒性.
Abstract: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.
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基金项目:Supported by the National Natural Science Foundation of China under Grant Nos.60703107, 60703108 (国家自然科学基金); theNational High-Tech Research and Development Plan of China under Grant No.2009AA12Z210 (国家高技术研究发展计划(863)); theNational Basic Research Program of China under Grant No.2006CB705700 (国家重点基础研究发展计划(973)); the Program for NewCentury Excellent Talents in University of China under Grant No.NCET-08-0811 (新世纪优秀人才支持计划) Supported by the National Natural Science Foundation of China under Grant Nos.60703107, 60703108 (国家自然科学基金); theNational High-Tech Research and Development Plan of China under Grant No.2009AA12Z210 (国家高技术研究发展计划(863)); theNational Basic Research Program of China under Grant No.2006CB705700 (国家重点基础研究发展计划(973)); the Program for NewCentury Excellent Talents in University of China under Grant No.NCET-08-0811 (新世纪优秀人才支持计划)
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余 航,焦李成,公茂果,杨咚咚.基于正交试验设计的克隆选择函数优化.软件学报,2010,21(5):950-967

YU Hang,JIAO Li-Cheng,GONG Mao-Guo,YANG Dong-Dong.Clonal Selection Function Optimization Based on Orthogonal Experiment Design.Journal of Software,2010,21(5):950-967