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    Abstract:

    In this paper, the basic principles of orthogonal experimental design method and genetic algorithm are discussed briefly, and the relation between them is analy zed in detail. The paper indicates that orthogonal experimental design method is a special case of genetic algorithm, i.e. a genetic algorithm with a fixed init ial population, an oriented mutation operator and one evolution epoch. It is sho wn that the orthogonal experimental design method can overcome minimum deception problems existing in genetic algorithm.

    Reference
    [1] Chen, Kui. Design and Analysis of Experiments. Beijing: Tsinghua Un iversity Press, 1996. 94~120 (in Chinese).陈魁.试验设计与分析.北京:清华大学出版社,1996.94~120.
    [2] Liu, Yong, Kang, Li-shan, Chen, Yu-ping. Non-Numerical Parallel Algori thms (Ⅱ)——Genetic Algorithms. Beijing: Science Press, 1995. 22~60 (in Chinese ).刘勇,康立山,陈毓屏.非数值并行算法(第2册)——遗传算法.北京:科学出版社,1995 .22~60.
    [3] Chen, Jian-an, Guo, Da-wei, Xu, Nai-ping, et al. A review on the t heory for the genetic algorithm. Journal of Xidian University, 1998,25(3):363~36 8 (in Chinese).陈建安,郭大伟,徐乃平,等.遗传算法理论研究综述.西安电子科技大学学报,1998,25 (3):363~368.
    [4] Huang, Yan, Jiang, Pei, Wang, Jia-song, et al. A solution to decepti ve problems in genetic algorithm based on an adjustable mutation operator. Journ al of Software, 1999,10(2):216~219 (in Chinese).黄焱,蒋培,王嘉松,等.基于可调变异算子求解遗传算法的欺骗问题.软件学报,1999, 10(2):216~219.
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吴浩扬,常炳国,朱长纯.遗传算法的一种特例——正交试验设计法.软件学报,2001,12(1):148-153

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History
  • Received:July 02,1999
  • Revised:October 22,1999
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