Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/46684
Title: Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions
Authors: Maier, H.R. 
Kapelan, Z. 
Kasprzyk, J. 
Kollat, J. 
Matott, L.S. 
Cunha, M. C. 
Dandy, G. C. 
Gibbs, M. S. 
Keedwell, E. 
Marchi, A. 
Ostfeld, A. 
Savic, D. 
Solomatine, D. P. 
Vrugt, J. A. 
Zecchin, A. C. 
Minsker, B. S. 
Barbour, E. J. 
Kuczera, G. 
Pasha, F. 
Castelletti, A. 
Giuliani, M. 
Reed, P. M. 
Keywords: Optimisation; Water resources; Evolutionary algorithms; Metaheuristics; Review; Research directions
Issue Date: Dec-2014
Publisher: Elsevier
Serial title, monograph or event: Environmental Modelling & Software
Volume: 62
Abstract: 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 EA challenges, and needed advances across major applications. This paper clarifies the current status and future research directions for better solving key water resources problems using EAs. Advances in understanding fitness landscape properties and their effects on algorithm performance are critical. Future EA-based applications to real-world problems require a fundamental shift of focus towards improving problem formulations, understanding general theoretic frameworks for problem decompositions, major advances in EA computational efficiency, and most importantly aiding real decision-making in complex, uncertain application contexts.
Description: The authors acknowledge the publisher in granting permission for making post-print version available in open access institutional repository.
URI: http://hdl.handle.net/10316/46684
ISSN: 1364-8152
DOI: 10.1016/j.envsoft.2014.09.013
Rights: openAccess
Appears in Collections:FCTUC Eng.Civil - Artigos em Revistas Internacionais

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