Adelaide Research & Scholarship
Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/90636
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| 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 |
| DOI: | 10.1016/j.envsoft.2015.02.006 |
| Published version: | http://dx.doi.org/10.1016/j.envsoft.2015.02.006 |
| Appears in Collections: | Aurora harvest 7 Civil and Environmental Engineering publications |
Files in This Item:
| File | Description | Size | Format | |
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| hdl_90636.pdf | Accepted version | 2.03 MB | Adobe PDF | View/Open |
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