A review of applications of animal‐inspired evolutionary algorithms in reservoir operation modelling

Successful operation of reservoir systems to guarantee the optimal use of available water resources has been the subject of many studies. The advent and applications of evolutionary algorithms (EAs) in the field of reservoir operation have led to significant advances in our capacity to improve the p...

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Veröffentlicht in:	Water and environment journal : WEJ Jg. 35; H. 2; S. 628 - 646
Hauptverfasser:	Jahandideh‐Tehrani, Mahsa, Bozorg‐Haddad, Omid, Loáiciga, Hugo A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Wiley Subscription Services, Inc 01.05.2021
Schlagworte:	Algorithms Animal species animals animal‐inspired EA Ant colony optimization Computer applications Computing time Dynamic programming environment Evolutionary algorithms Genetic algorithms Heuristic methods honey bees Identification Nonlinear programming Optimization overview Particle swarm optimization Reproductive behaviour Reservoir operation Search algorithms state‐of‐art review water Water resources
ISSN:	1747-6585, 1747-6593
Online-Zugang:	Volltext
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