Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/16734
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Type: Journal article
Title: Water distribution system optimization using metamodels
Author: Broad, D.
Dandy, G.
Maier, H.
Citation: Journal of Water Resources Planning and Management, 2005; 131(3):172-180
Publisher: ASCE-Amer Soc Civil Engineers
Issue Date: 2005
ISSN: 0733-9496
1943-5452
Statement of
Responsibility: 
D. R. Broad, G. C. Dandy and H. R. Maier
Abstract: Genetic algorithms (GAs) have been shown to apply well to optimizing the design and operations of water distribution systems (WDSs). The objective has usually been to minimize cost, subject to hydraulic constraints such as satisfying minimum pressure. More recently, the focus of optimization has expanded to include water quality concerns. This added complexity significantly increases the computational requirements of optimization. Considerable savings in computer time can be achieved by using a technique known as metamodeling. A metamodel is a surrogate or substitute for a complex simulation model. This research uses a metamodeling approach to optimize a water distribution design problem that includes water quality. The type of metamodels used are artificial neural networks (ANNs), as they are capable of approximating the nonlinear functions that govern flow and chlorine decay in a WDS. The ANNs were calibrated to provide a good approximation to the simulation model. In addition, two techniques are presented to improve the ability of metamodels to find the same optimal solution as the simulation model. Large savings in computer time occurred from training the ANNs to approximate chlorine concentrations (approximately 700 times faster than the simulation model) while still finding the optimal solution.
Keywords: Optimization; Water distribution; Evolutionary computation; Neural networks; Water quality; Design
Rights: © 2005 ASCE
RMID: 0020050355
DOI: 10.1061/(ASCE)0733-9496(2005)131:3(172)
Appears in Collections:Civil and Environmental Engineering publications
Environment Institute publications

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