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.
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]
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