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：
暂无
中图分类号：
学科分类号：
摘要：
Evolutionary algorithms - Hydroelectric power plants - Reservoirs (water) - Hydroelectric power - Mesh generation - Swarm intelligence
引用
收藏
相关论文
共 50 条
  • [31] Analysis of power system scheduling operation mode based on multi-objective optimization algorithm
    Bao B.
    Zuo J.
    Zhang S.
    Tu L.
    Chen Y.
    Qian F.
    Liu F.
    Zhang B.
    Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
  • [32] Modified multi-objective evolutionary programming algorithm for solving project scheduling problems
    Abido, Mohammad A.
    Elazouni, Ashraf
    EXPERT SYSTEMS WITH APPLICATIONS, 2021, 183
  • [33] Evolutionary based hybrid GA for solving multi-objective grid scheduling problem
    Ankita
    Sahana, Sudip Kumar
    MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS, 2020, 26 (05): : 1405 - 1416
  • [34] Evolutionary Algorithm for Solving Constrained Multi-objective Grid Tasks Scheduling Problem
    Zhu, Hai
    Wang, Yuping
    Fan, Lei
    2009 INTERNATIONAL SYMPOSIUM ON COMPUTER NETWORK AND MULTIMEDIA TECHNOLOGY (CNMT 2009), VOLUMES 1 AND 2, 2009, : 10 - 14
  • [35] Evolutionary based hybrid GA for solving multi-objective grid scheduling problem
    Sudip kumar Ankita
    Microsystem Technologies, 2020, 26 : 1405 - 1416
  • [36] Multi-objective Optimal Multiple Reservoir Operation
    Scola, Luis A.
    Neto, Oriane Magela
    Takahashi, Ricardo H. C.
    Cerqueira, Sergio A. A. G.
    2011 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2011, : 1927 - 1933
  • [37] A new multi-objective evolutionary algorithm for solving high complex multi-objective problems
    Li, Kangshun
    Yue, Xuezhi
    Kang, Lishan
    Chen, Zhangxin
    GECCO 2006: GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, VOL 1 AND 2, 2006, : 745 - +
  • [38] Evolutionary Multi-Objective Workflow Scheduling in Cloud
    Zhu, Zhaomeng
    Zhang, Gongxuan
    Li, Miqing
    Liu, Xiaohui
    IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2016, 27 (05) : 1344 - 1357
  • [39] An Evolutionary Solution to a Multi-objective Scheduling Problem
    Samur, Sumeyye
    Bulkan, Serol
    WORLD CONGRESS ON ENGINEERING, WCE 2010, VOL III, 2010, : 1717 - 1721
  • [40] Multi-objective Hydro Optimal Scheduling with Flow Time
    Ge, Xiaolin
    Zhang, Lizi
    Yang, Yang
    2012 IEEE INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2012,
12345