Inverse analysis of hydrogeological parameters using hybrid Hooke-Jeeves and particle swarm optimization method

JIANG Si-min; ZHU Guo-rong; SHI Xiao-qing; ZHOU Nian-qing

Volume 21 Issue 5

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Advances in Water Science > 2010 > 21(5): 606-612.

JIANG Si-min, ZHU Guo-rong, SHI Xiao-qing, ZHOU Nian-qing. Inverse analysis of hydrogeological parameters using hybrid Hooke-Jeeves and particle swarm optimization method[J]. Advances in Water Science, 2010, 21(5): 606-612.

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Inverse analysis of hydrogeological parameters using hybrid Hooke-Jeeves and particle swarm optimization method

1.
Department of Hydraulic Engineering, Tongji University, Shanghai 200092, China;
2.
Department of HydroSciences, Nanjing University, Nanjing 210093, China

Funds: The study is financially supported by the National Natural Science Foundation of China(No.40702037).

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Received Date: November 30, 2009

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Abstract

The performance of groundwater modeling relies largely on the accurate estmiation of hydrogeological parameters,which are often influenced by the choice of optimization methods used.The particle swarm optimization(PSO)is a swarm in telligence technique for global optimization.However,the search efficiency of PSO decreases as the iteration process approaching to the end.It is thus desirable to search for the enhanced version of PSO.In this study,a hybrid global optimization algorithm that uses the Hooke-Jeeves(HJ)method for the bcal optimization and PSO for the global optimization is proposed to address the inverse problems in ground water modeling.Hydrogeological parameters can be determined using the new HJPSO algorithm.The result of a case study shows that HJPSO is characterized as an algorithm with accuracy,fast convergence and high robustness in the estmiation of hydrogeological parameters,and applicable to hydrogeologic parameters identification.
- hydrogeological paramete,
- rparticle swarm optimization,
- Hooke-Jeeves search method,
- inverse analysis,
- optimization techniques

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