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Comparison of derivative-free optimization methods for groundwater supply and hydraulic capture community problems
Ist Teil von
Advances in water resources, 2008-05, Vol.31 (5), p.743-757
Ort / Verlag
Oxford: Elsevier Science
Erscheinungsjahr
2008
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
Management decisions involving groundwater supply and remediation often rely on optimization techniques to determine an effective strategy. We introduce several derivative-free sampling methods for solving constrained optimization problems that have not yet been considered in this field, and we include a genetic algorithm for completeness. Two well-documented community problems are used for illustration purposes: a groundwater supply problem and a hydraulic capture problem. The community problems were found to be challenging applications due to the objective functions being nonsmooth, nonlinear, and having many local minima. Because the results were found to be sensitive to initial iterates for some methods, guidance is provided in selecting initial iterates for these problems that improve the likelihood of achieving significant reductions in the objective function to be minimized. In addition, we suggest some potentially fruitful areas for future research.