| 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. |
| 关键词: 人工智能 进化算法 人工免疫 克隆选择算法 正交试验设计 函数优化 |
| DOI： |
| 分类号: |
| 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) |
|
| Clonal Selection Function Optimization Based on Orthogonal Experiment Design |
|
YU Hang,JIAO Li-Cheng,GONG Mao-Guo,YANG Dong-Dong
|
| 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. |
| Key words: artificial immune evolutionary algorithm artificial immune clonal selection algorithm orthogonalexperiment design function optimization |
