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Improved Continuous Tabu Search Algorithm for Hydrogeology Parameters Identification

详细信息   
摘要
Parameter identification is the fundamental stage to build a groundwater numerical model, and the reliable hydrogeological parameters are very important. To a great extent, the final optimal results for hydrogeological parameters lie on the optimization methods. Tabu search method is a meta-heuristic global optimization procedure which has been widely used to solve various combinational optimization problems. However, only a few works have adopted the tabu search method to the continuous variables functional optimization. Thus, this paper introduces a continuous tabu search algorithm to solve these problems. Furthermore, a new continuous tabu search algorithm (ICTS) is proposed based on several betterments and amendments. Finally, the research applies ICTS to the hydrogeological parameters identification issues.

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