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    韩学东 洪炳熔 孟 伟. 基于疫苗自动获取与更新的免疫遗传算法[J]. 计算机研究与发展, 2005, 42(5): 740-745.
    引用本文: 韩学东 洪炳熔 孟 伟. 基于疫苗自动获取与更新的免疫遗传算法[J]. 计算机研究与发展, 2005, 42(5): 740-745.
    Han Xuedong, Hong Bingrong, and Meng Wei. An Immune Genetic Algorithm Based on Vaccine Autonomous Obtaining and Updating[J]. Journal of Computer Research and Development, 2005, 42(5): 740-745.
    Citation: Han Xuedong, Hong Bingrong, and Meng Wei. An Immune Genetic Algorithm Based on Vaccine Autonomous Obtaining and Updating[J]. Journal of Computer Research and Development, 2005, 42(5): 740-745.

    基于疫苗自动获取与更新的免疫遗传算法

    An Immune Genetic Algorithm Based on Vaccine Autonomous Obtaining and Updating

    • 摘要: 收敛速度缓慢已成为遗传算法研究中亟待解决的主要问题之一.为了提高遗传算法的收敛速 度,提出了一种基于疫苗自动获取与更新的免疫遗传算法.从各代种群中选出优良个体,然 后从这些优良个体中提取免疫疫苗,概率地对后代种群的个体接种疫苗.接种疫苗是利用疫 苗确定位上的等位基因替代个体相应位上等位基因的操作.接种疫苗加速了优良模式的繁殖 ,修复了被交叉、变异破坏的优良模式.种群与疫苗库相互作用、协同进化,极大地提高了 算法的收敛速度.基于模式定理分析了算法的计算效率.最后,几个典型函数优化问题的仿真 结果表明了算法的可行性和有效性.

       

      Abstract: Slow convergence to the global optimum has been one of the main problems in genetic algorithm. In order to increase the speed of convergence, an immune genetic algorithm based on vaccine autonomous obtaining and updating (IGAVAOU) is propos ed. Excellent individuals are selected from each generation population and vacci ne is obtained from these excellent individuals. Then individuals in succeeding population are vaccinated in stochastic way. Vaccination is a kind of operation by which allele in vaccine replace allele on individual corresponding locus. Vac cination can not only make excellent schemata proliferate, but also repair the s chemata destroyed by crossover and mutation operations. Population and vaccine r epertory influence each other and co-evolve so that they accelerate convergence to the global optimum. IGAVAOU's computation efficiency is analyzed based on the schemata theorem. IGAVAOU is verified by several typical functions. The results show the feasibility and validity of the algorithm.

       

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