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自调整柯西变异克隆算法

Clone Algorithm of Cauthy Mutation Self-adjusted
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摘要 生物免疫系统中许多信息处理机制已成功应用到控制、数据处理、优化学习和故障诊断等领域,并且已经成为继神经网络、模糊逻辑和进化算法后人工智能的又一研究热点。针对巴西学者Castro提出的克隆算法存在的不足,提出一种新的克隆算法——自调整柯西变异克隆算法,重新定义了克隆选择算子和克隆变异算子。与其它算法相比较,试验结果表明所提算法搜索时间短、搜索精度和效率都很高。 Much of the information processing mechanism of biological immune system has been successfully applied to the control,data processing,optimization and fault diagnosis,and has become another research focus after the neural network,fuzzy logic and artificial intelligence,evolutionary algorithms.A new clonal algrithm-Clone Algorithm of Cauthy Mutation Self-adjusted is proposed,clonal selection operator and clonal mutation operator defined. Compared with other algorithms,experimental results show the algorithm search time short,the search accuracy and efficiency very high.
作者 刘国联 何燕
出处 《科学技术与工程》 2011年第17期3989-3991,4001,共4页 Science Technology and Engineering
基金 湖南省教育厅科学研究项目(10C0238)资助
关键词 生物免疫系统 克隆算法 进化算法 biological immune system clone algorithm evolutionary algorithm
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参考文献3

  • 1De Castro L N, Von Zuben F J. The clonal selection algorithm with engineering applications. Proc of GECCO'00, Workshop on Artificial Immune Systems and Their Applications ,2000:36-37.
  • 2Vosconcelos J A, Ramirez J A, Takahashi R H C, et al. Improvements in genetic algorithms. IEEE Trans. Magen ,2001 ;37 (5) :3414-3417.
  • 3de Castro L N, Timmis J. An artificial immune network for multi-modal function optimization. Proc of the IEEE Congress on Evolutionary Computation. Honolulu ,2002 : 699-704.

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