چکیده مقاله
A vital task in water resources management is the optimal planning of water delivery through an intelligent system This paper presents a tree growth optimization TGO algorithm to estimate the optimal storage capacity of dams TGO is an efficient strategy that achieved encouraging results on different optimization problems The proposed algorithm models the capacity of reservoir estimating as an optimization problem The objective is to accurately estimate the capacity of a dam considering the reservoir inflows, evaporation, rainfall, the current reservoir storage, and outflow parameters With a test on benchmark scenarios, the proposed TGO algorithm obtained better results compared with counterpart methods In terms of the root mean square error, mean absolute error, and Nash Sutcliffe’s coefficient, TGO generated 0 037, 0 41, and 0 74, respectively
کلیدواژهها
نویسندگان
Hojjat Emami
Department of Computer Engineering, University of Bonab, Bonab, Iran
Somayeh Emami
Department of Water Engineering, University of Tabriz, Tabriz, Iran
شیوه ارجاع
Emami, Hojjat and Emami, Somayeh,1400,A bio-inspired optimization algorithm for estimating the reservoir capacity of dams,Fourth International Conference on Soft Computing
ارائهشده در
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