Please use this identifier to cite or link to this item:
Scopus Web of Science® Altmetric
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
Statement of
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.
DOI: 10.1016/j.envsoft.2014.09.013
Appears in Collections:Aurora harvest 3
Civil and Environmental Engineering publications

Files in This Item:
File Description SizeFormat 
hdl_96294.pdfAccepted version1.23 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.