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 L ∞ 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.
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Aly et al. (1999) studied this question.
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