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- W2379717864 abstract "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 article 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.The case study indicates that the efficiency of ICTS is improved and is 1.87-4.64 times more than that of the other algorithms(SGA,Micro-GA,PSO,CTS),and the accuracy increases.ICTS is of strong ability to obtain global minima with fast convergence speed and the high robustness.It is worth to be popularized in the realm of hydrogeology research." @default.
- W2379717864 created "2016-06-24" @default.
- W2379717864 creator A5065605813 @default.
- W2379717864 date "2010-01-01" @default.
- W2379717864 modified "2023-09-28" @default.
- W2379717864 title "Improved continuous tabu search algorithm for hydrogeology parameters identification" @default.
- W2379717864 hasPublicationYear "2010" @default.
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