Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/96291
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Type: Journal article
Title: Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions
Author: Maier, H.
Kapelan, Z.
Kasprzyk, J.
Kollat, J.
Matott, L.
Cunha, M.
Dandy, G.
Gibbs, M.
Keedwell, E.
Marchi, A.
Ostfeld, A.
Savic, D.
Solomatine, D.
Vrugt, J.
Zecchin, A.
Minsker, B.
Barbour, E.
Kuczera, G.
Pasha, F.
Castelletti, A.
et al.
Citation: Environmental Modelling and Software, 2014; 62:271-299
Publisher: Elsevier
Issue Date: 2014
ISSN: 1364-8152
1873-6726
Statement of
Responsibility: 
H.R. Maier, Z. Kapelan, Kasprzyk, J. Kollat, L.S. Matott, M.C. Cunha, G.C. Dandy, M.S. Gibbs, E. Keedwell, A. Marchi, A. Ostfeld, D. Savic, D.P. Solomatine, J.A. Vrugt, A.C. Zecchin, B.S. Minsker, E.J. Barbour, G. Kuczera, F. Pasha, A. Castelletti, M. Giuliani, P.M. Reed
Abstract: Abstract not available
Keywords: Optimisation; Water resources; Evolutionary algorithms; Metaheuristics; Review; Research directions
Rights: © 2014 Elsevier Ltd. All rights reserved.
RMID: 0030013540
DOI: 10.1016/j.envsoft.2014.09.013
Appears in Collections:Civil and Environmental Engineering publications

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