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Full-Text Articles in Engineering
Comparison Of A Genetic Algorithm And Mathematical Programming To The Design Of Groundwater Cleanup Systems, Alaa H. Aly, Richard C. Peralta
Comparison Of A Genetic Algorithm And Mathematical Programming To The Design Of Groundwater Cleanup Systems, Alaa H. Aly, Richard C. Peralta
Civil and Environmental Engineering Faculty Publications
We present and apply a new simulation/optimization approach for single- and multiple-planning period problems in groundwater remediation. Instead of the traditional control locations for contaminant concentrations, we use an LQC norm as a global measure of aquifer contamination (CMAX). We use response-surface constraints to represent CMAX within the optimization model. We compare the performance of formal mixed integer nonlinear programming and a genetic algorithm for several optimization scenarios.
Optimal Design Of Aquifer Clean Up Systems Under Uncertainty Using A Neural Network And A Genetic Algorithm, Alaa H. Aly, Richard C. Peralta
Optimal Design Of Aquifer Clean Up Systems Under Uncertainty Using A Neural Network And A Genetic Algorithm, Alaa H. Aly, Richard C. Peralta
Civil and Environmental Engineering Faculty Publications
We present a methodology to account for the stochastic nature of hydraulic conductivity during the design of pump-and-treat systems for aquifer cleanup. The methodology (1) uses a genetic algorithm to find the global optimal solution and (2) incorporates a neural network to model the response surface within the genetic algorithm. We apply the methodology for a real example and different optimization scenarios. The employed optimization formulation requires few hydraulic conductivity realizations. The presented approach produces a trade-off curve between reliability and treatment facility size .