@inproceedings{1bdc08b480694aae805ad71aa8ae6e48,
title = "Particle swarm algorithm-based optimal scheduling of reservoirs in the middle line of south-north water diversion",
abstract = "A reservoir scheduling optimization algorithm is formed by improving the particle swarm algorithm to solve the problem of slow speed of intelligent algorithm in reservoir optimization, which makes the particle swarm algorithm obtain the optimal solution of the scheduling process faster and more accurately in reservoir optimization and scheduling. The improved particle swarm algorithm uses the fast convergence feature to obtain the preliminary solution of the scheduling process. According to the month-by-month water supply plan of the South-North Water Transfer Central Line and the layout map of important water conservancy projects in Jiangsu, each water node is divided and the corresponding node diagram is drawn. Combining the engineering and construction of each controlling reservoir in Jiangsu Province, an optimized reservoir scheduling model for the current and planned years of the South-North Water Transfer Central Line is established.",
keywords = "South-North Water Diversion, algorithm-based, optimal scheduling.",
author = "Jun Jia and Guangming Zhang and Zhihan Shi",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; 3rd International Conference on Advanced Algorithms and Signal Image Processing, AASIP 2023 ; Conference date: 30-06-2023 Through 02-07-2023",
year = "2023",
doi = "10.1117/12.3006637",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Kannimuthu Subramaniam and Pavel Loskot",
booktitle = "Third International Conference on Advanced Algorithms and Signal Image Processing, AASIP 2023",
address = "美国",
}