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

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....

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Veröffentlicht in:	Environmental modelling & software : with environment data news Jg. 62; S. 271 - 299
Hauptverfasser:	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.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.12.2014 Elsevier
Schlagworte:	Algorithms Animal, plant and microbial ecology Biological and medical sciences Computational efficiency Computer programs computer software decision making environmental models Evolutionary algorithms Fitness Fundamental and applied biological sciences. Psychology General aspects. Techniques Heuristic methods Landscapes Metaheuristics Methods and techniques (sampling, tagging, trapping, modelling...) Optimisation planning Research directions Review water distribution Water resources Research directions Evolutionary algorithms Review Optimisation Metaheuristics Water resources Status Water current Algorithm Optimization
ISSN:	1364-8152
Online-Zugang:	Volltext
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