Optimal Operation of Multi-Reservoir System Based-On Cuckoo Search Algorithm-Reference-Cited by-同舟云学术

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Optimal Operation of Multi-Reservoir System Based-On Cuckoo Search Algorithm

Published:2015-09-20 Issue:15 Volume:29 Page:5671-5687
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Ming Bo,Chang Jian-xia,Huang Qiang,Wang Yi-min,Huang Sheng-zhi

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11269-015-1140-6.pdf

Reference39 articles.

1. Afshar MH (2012) Large scale reservoir operation by constrained particle swarm optimization algorithms. J Hydro Environ Res 6(1):75–87

2. Afshar MH (2013) Extension of the constrained particle swarm optimization algorithm to optimal operation of multi-reservoirs system. Int J Electr Power Energy Syst 51:71–81

3. Afshar A, Bozorg Haddad O, Mariño MA, Adams BJ (2007) Honey-bee mating optimization (HBMO) algorithm for optimal reservoir operation. J Franklin Inst 344(5):452–462

4. Afshar A, Massoumi F, Afshar A, Mariño M (2015) State of the art review of Ant colony optimization applications in water resource management. Water Resour Manag 29(11):3891–3904

5. Bai T, Chang J-X, Chang F-J, Huang Q, Wang Y-M, Chen G-S (2015a) Synergistic gains from the multi-objective optimal operation of cascade reservoirs in the Upper Yellow River basin. J Hydrol 523:758–767

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