Meta-heuristic algorithms as tools for hydrological science

In this paper, meta-heuristic optimization techniques are introduced and their applications to water resources engineering, particularly in hydrological science are introduced. In recent years, meta-heuristic optimization techniques have been introduced that can overcome the problems inherent in ite...

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Veröffentlicht in:	Geoscience letters Jg. 1; H. 1; S. 4 - 7
Hauptverfasser:	Yoo, Do Guen, Kim, Joong Hoon
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.12.2014 Springer Nature B.V
Schlagworte:	Algorithms Atmospheric Sciences Biogeosciences Earth and Environmental Science Earth Sciences Geophysics/Geodesy Hydrologic models Objective function Oceanography Planetology Research Letter Water resources management Meta-heuristic algorithm Harmony search algorithm Hydrological sciences
ISSN:	2196-4092, 2196-4092
Online-Zugang:	Volltext
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