Linking Nelder–Mead Simplex Direct Search Method into Two-Stage Progressive Optimality Algorithm for Optimal Operation of Cascade Hydropower Reservoirs-Reference-Cited by-同舟云学术

Linking Nelder–Mead Simplex Direct Search Method into Two-Stage Progressive Optimality Algorithm for Optimal Operation of Cascade Hydropower Reservoirs

Published:2020-05 Issue:5 Volume:146 Page:04020019
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Feng Zhong-kai¹,Niu Wen-jing²,Zhou Jian-zhong³,Cheng Chun-tian⁴

Affiliation:

1. Lecturer, School of Hydropower and Information Engineering, Huazhong Univ. of Science and Technology, Wuhan 430074, China (corresponding author).

2. Engineer, Bureau of Hydrology, Changjiang Water Resources Commission, Wuhan 430010, China.

3. Professor, School of Hydropower and Information Engineering, Huazhong Univ. of Science and Technology, Wuhan 430074, China.

4. Professor, Institute of Hydropower and Hydroinformatics, Dalian Univ. of Technology, Dalian 116024, China; Professor, Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, Dalian Univ. of Technology, Dalian 116024, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0001194

Reference39 articles.

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4. Efficiency evaluation of hydropower station operation: A case study of Longyangxia station in the Yellow River, China

5. A hybrid simplex search and particle swarm optimization for unconstrained optimization

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