Staffordshire University logo
STORE - Staffordshire Online Repository

Optimal placement of pressure monitors in water supply network with elitist genetic algorithm

XI, Jin, Gao, J and WU, Wenyan (2008) Optimal placement of pressure monitors in water supply network with elitist genetic algorithm. International Journal of Modelling, Identification and Control (IJMIC), 4 (2). pp. 168-175. ISSN 1746-6172

Full text not available from this repository.

Abstract or description

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.

Item Type: Article
Uncontrolled Keywords: water supply network; pressure monitoring; optimal placement; genetic algorithms; elitist GAs; mathematical modelling
Subjects: G500 Information Systems
G700 Artificial Intelligence
K400 Planning (Urban, Rural and Regional)
Faculty: Previous Faculty of Arts and Creative Technologies > Art and Design
Depositing User: Wenyan WU
Date Deposited: 21 Nov 2013 13:27
Last Modified: 24 Feb 2023 03:47
Related URLs:

Actions (login required)

View Item View Item

DisabledGo Staffordshire University is a recognised   Investor in People. Sustain Staffs
Legal | Freedom of Information | Site Map | Job Vacancies
Staffordshire University, College Road, Stoke-on-Trent, Staffordshire ST4 2DE t: +44 (0)1782 294000