Plume containment/cleanup strategy design by genetic algorithm methods

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Simulation/Optimization (S/0) modules were applied to develop an optimal pump and treat (P&T) pumping strategy for a Wurtsmith AFB site. The S/0 model incorporates both operations research linear programming and evolutionary optimization genetic algorithm (GA). Differing from a previously reported GA code that treats pumping as a discrete variable (no pumping or pumping at some specified rate), this code treats pumping as a continuous variable. It was used to design the cleanup wells which would reduce contaminant concentrations to acceptable values within 6 years. The linear programming capability of REMAX was then used to determine the least amount of extra pumping needed to achieve plume containment. Results of this optimization approach will be presented.

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