AQUIFER PARAMETER IDENTIFICATION WITH SIMULATED ANNEALING ALGORITHM AND ITS APPLICATION

摘要

A new approach to parameter estimation in groundwater hydrology is developed by using simulated annealing algorithm. Based on the information from the observed water heads and calculated water heads, an objective function for inverse problem is proposed. The inverse problem of parameter identification is formulated as an optimization problem. Simulated annealing has the ability of probabilistic hill-climbing and is presented to identify the transmissivity and storage coefficient for a two-dimensional, unsteady state groundwater flow model. The ill-posedness of the inverse problem as characterized by instability and non-uniqueness is overcome by using computational intelligence. Compared with gradient-based optimization methods, simulated annealing algorithm is a global search algorithm and can find parameter set in a stable manner. A numerical example and a practical engineering application example are used to demonstrate the efficiency of simulated annealing algorithm.