Improved Multi-objective Butterfly Optimization Algorithm and its Application in Cascade Reservoirs Optimal Operation Considering Ecological Flow-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Improved Multi-objective Butterfly Optimization Algorithm and its Application in Cascade Reservoirs Optimal Operation Considering Ecological Flow

Published:2024-07-13 Issue:12 Volume:38 Page:4803-4821
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Xiao Zhangling,Zhang Mingjin,Liang Zhongmin,Wang Jian,Zhu Yude,Li Binquan,Hu Yiming,Wang Jun,Jiang Xiaolei

Funder

National Natural Science Foundation of China

Key R&D Program of Guangxi, China

National Key R&D Program of China

Major scientific and technological projects of the Ministry of Water Resources of China

Central Fundamental Research Funds of TIWTE

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11269-024-03889-7.pdf

Reference35 articles.

1. Afshari H, Hare W, Tesfamariam S (2019) Constrained multi-objective optimization algorithms: review and comparison with application in reinforced concrete structures. Appl Soft Comput 83:105631. https://doi.org/10.1016/j.asoc.2019.105631

2. Arora S, Singh S (2019) Butterfly optimization algorithm: a novel approach for global optimization. Soft Comput 23(3):715–734. https://doi.org/10.1007/s00500-018-3102-4

3. Chen D, Chen Q, Li R, Blanckaert K, Cai D (2014) Ecologically-friendly operation scheme for the Jinping cascaded reservoirs in the Yalongjiang River, China. Front Earth Sci 8(2):282–290. https://doi.org/10.1007/s11707-013-0396-5

4. Coello C, Lechuga M (2002) MOPSO: a proposal for multiple objective particle swarm optimization. Proceedings of the 2002 Congress on Evolutionary Computation. (Cat no 02TH8600). IEEE 2:1051–1056. https://doi.org/10.1109/CEC.2002.1004388

5. Deb K, Padhye N (2014) Enhancing performance of particle swarm optimization through an algorithmic link with genetic algorithms. Comput Optim Appl 57:761–794. https://doi.org/10.1007/s10589-013-9605-0

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. New Hybrid Optimization Approaches for the Optimal Management of Surface Water Resources Systems;Water Resources Management;2024-08-20

2. Construction of Ecological Water Resources Management Leadership Model Based on Multi-Agent Collaboration;Water Resources Management;2024-08-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3