Multi-objective optimization for free-phase LNAPL recovery using evolutionary computation algorithms
نویسندگان
چکیده
منابع مشابه
Employing Evolutionary Algorithms for Optimizing Free Phase Lnapl Recovery
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 ...
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ژورنال
عنوان ژورنال: Hydrological Sciences Journal
سال: 2013
ISSN: 0262-6667,2150-3435
DOI: 10.1080/02626667.2012.754103