Title :
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
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;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1712939