Employing Evolutionary Algorithms for Optimizing Free Phase Lnapl Recovery
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چکیده
A non-linear, multi-objective optimization method is presented that seeks to maximize free product recovery of light non-aqueous phase liquids (LNAPLs) while minimizing operation cost. This approach combines FEHM (Finite Element Heat and Mass transfer code), a groundwater model that can simulate LNAPL transport in the subsurface, with two evolutionary algorithms: the genetic algorithm (GA) and the differential evolution (DE) algorithm. The proposed optimal free phase recovery algorithm is tested using data from a field site contaminated with LNAPLs, located near Athens, Greece. The results obtained using the two evolutionary algorithms (GA and DE) are presented and discussed.
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تاریخ انتشار 2010