Title: Optimal placement of pressure monitors in water supply network with elitist genetic algorithm
Authors: Xi Jin, Jinliang Gao, Wenyan Wu
Addresses: School of Municipal and Environment Engineering, Harbin Institute of Technology, P.O. Box 2624, Harbin 150090, Heilongjiang, China. ' School of Municipal and Environment Engineering, Harbin Institute of Technology, P.O. Box 2624, Harbin 150090, Heilongjiang, China. ' Faculty of Computing, Engineering and Technology, Staffordshire University, Beaconside Stafford, ST18 0DF, UK
Abstract: Optimisation of pressure monitoring in a water distribution network is essential for water companies to provide safe and reliable water supply to customers. With analysis of pressure pertinence and its quantified criteria of nodes in a water supply network, a mathematical model has been established for optimal placement of pressure monitoring. The elitist genetic algorithm (GA) method was adopted for solving this model. The model is evaluated by solving an example network and improves the accuracy and feasibility of this optimal model.
Keywords: water supply network; pressure monitoring; optimal placement; genetic algorithms; elitist GAs; mathematical modelling.
International Journal of Modelling, Identification and Control, 2008 Vol.4 No.2, pp.168 - 175
Published online: 03 Nov 2008 *Full-text access for editors Access for subscribers Purchase this article Comment on this article