Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/90636
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Scenario driven optimal sequencing under deep uncertainty
Author: Beh, E.
Maier, H.
Dandy, G.
Citation: Environmental Modelling and Software, 2015; 68:181-195
Publisher: Elsevier
Issue Date: 2015
ISSN: 1364-8152
1873-6726
Statement of
Responsibility: 
Eva H.Y. Beh, Holger R. Maier, Graeme C. Dandy
Abstract: Abstract not available
Keywords: Optimal sequencing/scheduling; Multi-objective optimisation; Deep uncertainty; Robustness; Scenarios; Urban water supply augmentation
Rights: © 2015 Elsevier Ltd. All rights reserved
RMID: 0030025109
DOI: 10.1016/j.envsoft.2015.02.006
Appears in Collections:Civil and Environmental Engineering publications

Files in This Item:
File Description SizeFormat 
hdl_90636.pdfAccepted version2.03 MBAdobe PDFView/Open


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