杨晓华, 陆桂华, 郦建强. 混合加速遗传算法在流域模型参数优化中的应用[J]. 水科学进展, 2002, 13(3): 340-344.
引用本文: 杨晓华, 陆桂华, 郦建强. 混合加速遗传算法在流域模型参数优化中的应用[J]. 水科学进展, 2002, 13(3): 340-344.
YANG Xiao-hua, LU Gui-hua, LI Jian-qiang. Applications of the hybrid accelerating generic algorithm to parameter optimization of basin model[J]. Advances in Water Science, 2002, 13(3): 340-344.
Citation: YANG Xiao-hua, LU Gui-hua, LI Jian-qiang. Applications of the hybrid accelerating generic algorithm to parameter optimization of basin model[J]. Advances in Water Science, 2002, 13(3): 340-344.

混合加速遗传算法在流域模型参数优化中的应用

Applications of the hybrid accelerating generic algorithm to parameter optimization of basin model

  • 摘要: 在实编码遗传算法中加入单纯形搜索算子和加速搜索算子,提出了混合加速遗传算法.通过实例对该法与其它一些遗传算法进行了比较.并在大坳流域模型的参数优选中得到成功的应用.结果表明,混合加速遗传算法具有直观、简便、快速及适用性强等特点,是一种既可以较大概率搜索全局最优解,又能进行局部细致搜索的优秀非线性优化方法.

     

    Abstract: A hybrid accelerating genetic algorithm(HAGA) is presented by adding simplex searching operator and accelerate searching operator in real coding genetic algorithm.The HAGA is compared with some other genetic algorithms through some examples,and applied to the parameter optimization of the Daao basin model.The results show that this method has the features of direct,convenient,fast and good application.It is a superior non-linear optimal method which could locally search the global solution for greater probability.

     

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