Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/1021
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Type: Journal article
Title: Ant colony optimization for design of water distribution systems
Author: Maier, H.
Simpson, A.
Zecchin, A.
Foong, W.
Phang, K.
Seah, H.
Tan, C.
Citation: Journal of Water Resources Planning and Management, 2003; 129(3):200-209
Publisher: ASCE-Amer Soc Civil Engineers
Issue Date: 2003
ISSN: 0733-9496
1943-5452
Statement of
Responsibility: 
Holger R. Maier, Angus R. Simpson, Aaron C. Zecchin, Wai Kuan Foong, Kuang Yeow Phang, Hsin Yeow Seah and Chan Lim Tan
Abstract: During the last decade, evolutionary methods such as genetic algorithms have been used extensively for the optimal design and operation of water distribution systems. More recently, ant colony optimization algorithms ~ACOAs!, which are evolutionary methods based on the foraging behavior of ants, have been successfully applied to a number of benchmark combinatorial optimization problems. In this paper, a formulation is developed which enables ACOAs to be used for the optimal design of water distribution systems. This formulation is applied to two benchmark water distribution system optimization problems and the results are compared with those obtained using genetic algorithms ~GAs!. The findings of this study indicate that ACOAs are an attractive alternative to GAs for the optimal design of water distribution systems, as they outperformed GAs for the two case studies considered both in terms of computational efficiency and their ability to find near global optimal solutions.
Keywords: water supply, genetic algorithms, optimisation
Rights: © 2003 American Society of Civil Engineers
RMID: 0020030687
DOI: 10.1061/(ASCE)0733-9496(2003)129:3(200)
Appears in Collections:Civil and Environmental Engineering publications
Environment Institute publications

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