【摘 要】
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This paper developed an improved combinatorial method called the best chromosome clone plus younger generation chromosome prepotency genetic algorithm (BCC-YGCP-GA) to evaluate aquifer parameters. This method is based on a decimal simple genetic algorithm
【机 构】
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Xi’an Branch, China Coal Research Institute, Xi’an 710054, China;Department of Industrial Technology
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This paper developed an improved combinatorial method called the best chromosome clone plus younger generation chromosome prepotency genetic algorithm (BCC-YGCP-GA) to evaluate aquifer parameters. This method is based on a decimal simple genetic algorithm (SGA). A synthetic example for unsteady-state flow in a two-dimensional, inhomogeneous, confined aquifer containing three hydraulically distinct zones, is used to develop data to test the model. The simulation utilizes SGA and BCC-YGCP-GA coupled to the finite element method to identify the mean zonal hydraulic conductivities, and storage coefficients of the three-compartment model. For this geometrically simple model, used as a prototype of more complex systems, the SGA does not reach convergence within 100 generations. Conversely, the convergence rate of the BCC-YGCD-GA model is very fast. The objective function value calculated by BCC-YGCD-GA is reduced to 1/1 000th of the starting value within 100 generations,and the hydraulic conductivity and storage of three zones are within a few percent of the “true” values of the ideal model, highlighting the power of the method for aquifer parameterization.
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