A Hybrid PSO Based Method for Optimizing Water Quality Monitoring Stations in Water Distribution Systems

Author

Huang, Yadong ; Zhang, Tuqiao ; Wu, Xiaogang

Author_Institution

Inst. of Municipal Eng., Zhejiang Univ., Hangzhou

Volume

1

fYear

0

fDate

0-0 0

Firstpage

3109

Lastpage

3113

Abstract

The location of water quality monitoring stations in a water distribution system should be representative of the whole network with the minimum number of monitoring stations. Presently, no scientific methodology depicts how these monitoring stations are to be optimally located. For a complex water distribution network, the water fraction matrix was computed by recursion, then a hybrid PSO algorithm based on integer coding was proposed to help to identify optimal water quality monitoring stations in a water distribution system. The algorithm combines basic PSO algorithm with crossover and mutation operators of genetic algorithm. Lastly, the algorithm was validated with the help of a case

Keywords

genetic algorithms; matrix algebra; particle swarm optimisation; water supply; crossover operator; genetic algorithm; hybrid particle swarm optimization; integer coding; mutation operator; water distribution system; water fraction matrix; water quality monitoring station; water supply security; Computer networks; Computerized monitoring; Distributed computing; Educational institutions; Electronic mail; Genetic algorithms; Genetic mutations; Intelligent control; Optimization methods; Security; Water distribution system; hybrid PSO; optimization; water quality monitoring stations; water supply security;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1712939

Filename

1712939