| 一种免疫单克隆策略算法 |
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| 引用本文： | 刘若辰,杜海峰,焦李成.一种免疫单克隆策略算法[J].电子学报,2004,32(11):1880-1884. |
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| 作者姓名： | 刘若辰 杜海峰 焦李成 |
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| 作者单位： | 1. 西安电子科技大学智能信息处理研究所,陕西,西安,710071;西北大学数学系,陕西,西安,710069
2. 西安电子科技大学智能信息处理研究所,陕西,西安,710071 |
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| 基金项目： | 国家重点基础研究发展计划(973计划)，国家自然科学基金，国家高技术研究发展计划(863计划) |
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| 摘 要： | 本文系统地阐述了基于细胞克隆选择学说的单克隆算子.并将其应用于进化策略,提出了新的人工智能算法-一种免疫单克隆策略算法,该算法模拟免疫系统的自我调节、学习、自适应等机制,实现全局优化计算与局部优化计算机制的有机的结合,而且通过抗体与抗原间的亲合度计算,促进和抑制抗体的产生,自适应地调节抗体群的克隆规模.理论分析证明该算法以概率1收敛,同时利用4个标准函数对其进行全面测试,测试结果表明其收敛速度快、种群多样性好、并可有效抑制早熟现象.
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| 关 键 词： | 克隆选择 进化算法 进化策略 Markov链 |
| 文章编号： | 0372-2112(2004)11-1880-05 |
An Immune Monoclonal Strategy Algorithm |
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| LIU Ruo-chen.An Immune Monoclonal Strategy Algorithm[J].Acta Electronica Sinica,2004,32(11):1880-1884. |
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| Authors: | LIU Ruo-chen |
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| Affiliation: | LIU Ruo-chen~ |
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| Abstract: | Based on the clonal selection theory in the natural immune system,a novel artificial intelligent algorithm,Immune Monoclonal Strategy Algorithm (IMSA) is proposed in this paper.By simulating the mechanisms such as self-adjusting,learning and adaptation in the natural immune system,the algorithm realizes the global optimal computation as well as the local searching.According to antibody-antigen affinity,the algorithm can adjust adaptively the clonal scale of antibody population.It is proved theoretically that the IMSA is convergent with probability 1,and it is shown that IMSA has the strong abilities in having high convergence speed,enhancing the diversity of the population and avoiding the premature convergence to some degree,with the computer simulations to 4 benchmark functions. |
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| Keywords: | clonal selection evolutionary computation evolutionary strategies Markov chain |
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