An efficient multi-objective evolutionary approach for solving the operation of multi-reservoir system scheduling in hydro-power plants

被引：0
|
作者：
Marcelino, C.G. [1 ,2 ]
Leite, G.M.C. [2 ,3 ]
Delgado, C.A.D.M. [2 ]
de Oliveira, L.B. [4 ]
Wanner, E.F. [4 ]
Jiménez-Fernández, S. [1 ]
Salcedo-Sanz, S. [1 ]
机构：
[1] Department of Signal Processing and Communications, Universidad de Alcalá, Spain
[2] Institute of Computing, Federal University of Rio de Janeiro, Brazil
[3] Post-Graduate Program in Systems Engineering and Computer Science, Federal University of Rio de Janeiro, Brazil
[4] Computing Department, Federal Center of Technology Education of Minas Gerais, Brazil
来源：
Expert Systems with Applications | 2021年 / 185卷
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I：
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学科分类号：
摘要：
Evolutionary algorithms - Hydroelectric power plants - Reservoirs (water) - Hydroelectric power - Mesh generation - Swarm intelligence
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