Improved Self-Adaptive Chaotic Genetic Algorithm for Hydrogeneration Scheduling-Reference-Cited by-同舟云学术

Improved Self-Adaptive Chaotic Genetic Algorithm for Hydrogeneration Scheduling

Published:2008-07 Issue:4 Volume:134 Page:319-325
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Yuan Xiaohui¹²³,Zhang Yongchuan¹²³,Yuan Yanbin¹²³

Affiliation:

1. Associate Professor, School of Hydropower and Information Engineering, Huazhong Univ. of Science and Technology, Wuhan, 430074, China (corresponding author). E-mail: yxh71@163.com

2. Professor, School of Hydropower and Information Engineering, Huazhong Univ. of Science and Technology, Wuhan, 430074, China. E-mail: yczhang@mail.hust.edu.cn

3. Professor, School of Resource and Environmental Engineering, Wuhan Univ. of Technology, Wuhan, 430070, China. E-mail: yybjm@163.com

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%290733-9496%282008%29134%3A4%28319%29

Reference26 articles.

1. Hydro-thermal, scheduling by tabu search and decomposition method

2. Experiences with mixed integer linear programming based approaches on short-term hydro scheduling

3. Hydroelectric generation scheduling with an effective differential dynamic programming algorithm

4. Genetic aided scheduling of hydraulically coupled plants in hydro-thermal coordination

5. Choi C. (1998). “Dynamic bidirectional associative memory using chaotic neural network.” Ph.D. thesis Korea Advanced Institute of Science & Technology Taejon Korea.

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