所蔵: Deriving Optimal Operation Rule for Reservoir System Using Enhanced Optimization Algorithms

Deriving Optimal Operation Rule for Reservoir System Using Enhanced Optimization Algorithms

Recently, there has been a growing interest in employing optimization techniques to ascertain the most efficient operation of reservoirs. This involves their application to various facets of the reservoir operating system, particularly in determining optimal rule curves. This study delves into the e...

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主要な著者:	Almubaidin M.A., Ahmed A.N., Sidek L.M., AL-Assifeh K.A.H., El-Shafie A.
その他の著者:	57476845900
フォーマット:	論文
出版事項:	Springer Science and Business Media B.V. 2025
主題:	Jordan Curve fitting Genetic algorithms Heuristic algorithms Invasive weed optimization Learning algorithms Particle swarm optimization (PSO) Reservoir management Meta-heuristics algorithms Operating policies Optimization algorithms Optimization techniques Reservoir rule curve Rule curves Simulation model Standard operating policy Teaching-learning-based optimizations Water shortages genetic algorithm modeling reservoir water demand water management Reservoirs (water)
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Deriving Optimal Operation Rule for Reservoir System Using Enhanced Optimization Algorithms

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