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A novel immune clonal selection optimization algorithm

机译:一种新型免疫克隆选择优化算法

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Nature immune system is an excellent intelligent system. Inspired by the two immune response mechanisms of nature immune system, a new design of an artificial immune system has been proposed. The approach adopts a cluster mechanism in order to divide the population into subpopulations for the stage of selection and reproduction. In the immune clonal selection process, a hybrid hypermutation operator is introduced to improve the variety of antibodies and affinity maturation, thus it can quickly obtain the global and local optima. Extensive experimental results illustrate that the proposed algorithm is efficiency for complicated function optimization, remarkable quality of the global and local convergence reliability.
机译:自然免疫系统是一个出色的智能系统。受到自然免疫系统的两个免疫反应机制的启发,提出了一种人工免疫系统的新设计。该方法采用群集机制,以将人群分成选择和繁殖阶段的亚步进。在免疫克隆选择过程中,引入了一种混合高原运营商以改善各种抗体和亲和力成熟,因此它可以快速获得全球和局部最佳。广泛的实验结果表明,所提出的算法是复杂功能优化的效率,全局和局部收敛可靠性的显着质量。

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