Abstract
In this paper, the leakage location model of pipe network is established based on EPANET software. Two intelligent swarm optimization algorithms, ant lion optimization algorithm and particle swarm optimization algorithm, are used to solve the model. Taking the industrial water supply network of a coastal city in North China as an example, the operation of the two algorithms is analyzed and compared. The results show that the ant lion optimization algorithm has stronger global optimization ability and higher search efficiency in the problem of leakage location; it also has high application value in practical engineering.
Cite
CITATION STYLE
Liu, S., Lv, M., & Li, H. (2022). Intelligent Leakage Location of Urban Small Water Supply Network. In Journal of Physics: Conference Series (Vol. 2185). IOP Publishing Ltd. https://doi.org/10.1088/1742-6596/2185/1/012041
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.