Adelaide Research & Scholarship
Please use this identifier to cite or link to this item:
https://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. |
| 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 | Size | Format | |
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| hdl_96294.pdf | Accepted version | 1.23 MB | Adobe PDF | View/Open |
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