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    高学金, 王普, 孙崇正, 易建强, 张亚庭, 张会清. 基于实数编码的自适应遗传算法及应用[J]. 北京工业大学学报, 2007, 33(2): 144-149.
    引用本文: 高学金, 王普, 孙崇正, 易建强, 张亚庭, 张会清. 基于实数编码的自适应遗传算法及应用[J]. 北京工业大学学报, 2007, 33(2): 144-149.
    shu
    GAO Xue-jin, WANG Pu, SUN Chong-zheng, YI Jian-qiang, ZHANG Ya-ting, ZHANG Hui-qing. An Adaptive Genetic Algorithm Based on Real Coded and Its Application[J]. Journal of Beijing University of Technology, 2007, 33(2): 144-149.
    Citation: GAO Xue-jin, WANG Pu, SUN Chong-zheng, YI Jian-qiang, ZHANG Ya-ting, ZHANG Hui-qing. An Adaptive Genetic Algorithm Based on Real Coded and Its Application[J]. Journal of Beijing University of Technology, 2007, 33(2): 144-149.
    shu

    基于实数编码的自适应遗传算法及应用

    An Adaptive Genetic Algorithm Based on Real Coded and Its Application

      摘要
    • 摘要: 为了解决遗传算法(GA)存在的早熟收敛、收敛速度慢等不足,从编码方式及遗传算子操作等几个方面对其作了改进,提出了一种基于实数编码的自适应遗传算法(RAGA).基于典型复杂函数的优化仿真结果表明,该算法的全局收敛速度和命中全局最优值的几率相对标准遗传算法(SGA)有较大提高.

       

      Abstract: To solve the problem of the premature convergence and the slow convergence of Genetic Algorithms, an adaptive Genetic Algorithms based on real coded (RAGA) was proposed to improve the coding modes, genetic operators, etc. Optimization simulation results based on typical complex functions show that the optimal convergence rate and global hitting probability of the proposed algorithm are much better than those of simple Genetic algorithms.

       

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