DocumentCode :
507871
Title :
Application of Heuristic Genetic Algorithm for Optimal Layout of Flow Measurement Stations in Water Distribution Networks
Author :
Zhang, Hui ; Huang, Ting-lin ; He, Wen-Jie
Author_Institution :
Sch. of Environ. & Municipal Eng., Xi´´an Univ. of Archit. & Technol., Xi´´an, China
Volume :
4
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
140
Lastpage :
143
Abstract :
The placement of flow measurement stations is very important for real-time monitoring of water distribution networks. In this paper the heuristic genetic algorithm was applied to get the optimal layout of flow measurement stations based on the monitoring scope method. Its specific implementation for the problem was designed, including problem representation, heuristic correction, fitness function and genetic operations. And a computer program based on the algorithm was developed with Delphi 7. Through the application on an existing network it is proved that the developed algorithm is robust and can work out the results in a few minutes. Therefore, the heuristic genetic algorithm is an effective approach to solve the problems of combinatorial optimization in water distribution networks.
Keywords :
flow measurement; genetic algorithms; optimisation; water supply; Delphi 7; fitness function; flow measurement stations optimal layout; genetic operations; heuristic correction; heuristic genetic algorithm; monitoring scope method; problem representation; real-time monitoring; water distribution networks; Application software; Computer applications; Computer architecture; Computer networks; Computerized monitoring; Distributed computing; Fluid flow measurement; Genetic algorithms; Genetic engineering; Robustness; flow measurement station; heuristic genetic algorithm; optima layout; water distribution network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
Type :
conf
DOI :
10.1109/ICNC.2009.513
Filename :
5363681
Link To Document :
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