An improved fast harmony search algorithm for identification of hydrogeological parameters

Q. Luo, Jianfeng Wu, Yun Yang
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引用次数: 3

Abstract

This paper develops an improved fast harmony search (IFHS) algorithm for solving optimization problems. The proposed IFHS algorithm employs novel methods for generating new solution vectors and expanding the scale of new solution vectors to enhance accuracy and convergence rate of harmony search (HS) algorithm. Moreover, the IFHS algorithm combined with MODFLOW is successfully used to solve the problem of hydrogeological parameters identification. The results show that the proposed algorithm, compared with other heuristic methods, has more powerful ability of global searching and faster convergence rate for complex parameter identification problems of groundwater systems.
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一种用于水文地质参数识别的改进快速和谐搜索算法
本文提出了一种改进的快速和谐搜索(IFHS)算法来求解优化问题。本文提出的IFHS算法采用新的方法生成新的解向量,并扩大新的解向量的规模,以提高和声搜索算法的精度和收敛速度。将IFHS算法与MODFLOW算法相结合,成功地解决了水文地质参数识别问题。结果表明,与其他启发式方法相比,该算法对地下水系统复杂参数识别问题具有更强的全局搜索能力和更快的收敛速度。
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