Evaluation of methods for estimating aquifer hydraulic parameters

Applied Soft Computing Journal

Volumn 28, Issue , 2015, Pages 541-549

  Bateni, S M ^b   Mortazavi Naeini, M ^c   Ataie Ashtiani, B ^d   Jeng, D S ^a,e   Khanbilvardi, R ^f  

^a JIANGSU UNIVERSITY   (China)

^b University of Hawaii at Manoa   (United States)

^c UNIVERSITY OF NEWCASTLE   (Australia)

^d SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

^e GRIFFITH UNIVERSITY   (Australia)

^f CITY UNIVERSITY OF NEW YORK   (United States)

Author keywords

Ant colony optimization (ACO); Aquifer hydraulic parameters; Genetic algorithm (GA); Nonlinear programming (NLP); Pumping test

Indexed keywords

ALGORITHMS; ANT COLONY OPTIMIZATION; AQUIFERS; ARTIFICIAL INTELLIGENCE; DIGITAL STORAGE; GRAPHIC METHODS; GROUNDWATER; GROUNDWATER RESOURCES; HYDROGEOLOGY; NONLINEAR PROGRAMMING;

ANT COLONY OPTIMIZATION (ACO); ANT COLONY OPTIMIZATION METHODS; CONVERGENCE PROBLEMS; EVALUATION OF METHODS; GROUNDWATER MODELING; HYDRAULIC PARAMETERS; IN-SITU MEASUREMENT; PUMPING TESTS;

PARAMETER ESTIMATION;

EID: 84920972623     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2014.12.022     Document Type: Article

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