Sustainable groundwater modeling using single- and multi-objective optimization algorithms

This study presents the first attempt to link the multi-algorithm genetically adaptive search method (AMALGAM) with a groundwater model to define pumping rates within a well distributed set of Pareto solutions. The pumping rates along with three minimization objectives, i.e. minimizing shortage affe...

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Veröffentlicht in:	Journal of hydroinformatics Jg. 19; H. 1; S. 97 - 114
Hauptverfasser:	Sadeghi-Tabas, S., Samadi, S. Z., Akbarpour, A., Pourreza-Bilondi, M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London IWA Publishing 01.01.2017
Schlagworte:	Adaptive algorithms Adaptive search techniques Algorithms Annealing Aquifers Arid regions Arid zones Computer simulation Decision making Drawdown Elitism Finite difference method Fuzzy sets Genetic algorithms Groundwater Groundwater management Groundwater table Linear programming Mathematical models Methods Modelling Multiple objective analysis Objectives Optimization Parameters Pareto optimum Problems Pumping Pumping rates Solutions Specific yield Subsidence Sustainability Sustainability management Three dimensional models Water shortages Water table
ISSN:	1464-7141, 1465-1734
Online-Zugang:	Volltext
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