Open AccessThe Optimization of Hydraulic and Electric Power System Considering the Multi-Particle Swarm Optimization Algorithm
Author(s) -
Qingyuan Luo,
Yuge Wang,
Lina Liu,
Nan Chen,
Jie Wei
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1992/3/032130
Subject(s) - particle swarm optimization , multi swarm optimization , sustainable development , swarm behaviour , electric power , computer science , china , mathematical optimization , power (physics) , algorithm , ecology , artificial intelligence , geography , mathematics , physics , archaeology , quantum mechanics , biology
Water conservancy and electric power planning is an important part of urban planning and construction. In order to realize the ecological development of the multi-particle swarm optimization algorithm and improve the quality of people’s living environment, it is necessary to carry out ecological planning for the multi-particle swarm optimization. Based on the problems existing in the current development of water conservancy and electric power planning in China, this paper explores the planning and design of river courses based on the collaborative optimization of ecological multi-particle swarm optimization, so as to promote the sustainable development of urban construction in China.