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Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions

Maier, Holger Robert; Kapelan, Z.; Kasprzyk, Joseph; Kollat, Joshua; Matott, L. S.; Cunha, M. C.; Dandy, Graeme Clyde; Gibbs, M. S.; Keedwell, E.; Marchi, A.; Ostfeld, A.; Savic, D.; Solomatine, D. P.; Vrugt, J. A.; Zecchin, A. C.; Minsker, B. S.; Barbour, Emily; Kuczera, George Alfred; Pasha, F.; Castelletti, A; Giuliani, M.; Reed, P. M.

Description

The development and application of evolutionary algorithms (EAs) and other metaheuristics for the optimisation of water resources systems has been an active research field for over two decades. Research to date has emphasized algorithmic improvements and individual applications in specific areas (e.g. model calibration, water distribution systems, groundwater management, river-basin planning and management, etc.). However, there has been limited synthesis between shared problem traits, common...[Show more]

CollectionsANU Research Publications
Date published: 2014
Type: Journal article
URI: http://hdl.handle.net/1885/103477
Source: Environmental Modelling and Software
DOI: 10.1016/j.envsoft.2014.09.013

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