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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Bibliographic Details
Published in:	Journal of hydroinformatics Vol. 19; no. 1; pp. 97 - 114
Main Authors:	Sadeghi-Tabas, S., Samadi, S. Z., Akbarpour, A., Pourreza-Bilondi, M.
Format:	Journal Article
Language:	English
Published:	London IWA Publishing 01.01.2017
Subjects:	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 Access:	Get full text
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