Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/1024
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Type: Journal article
Title: Genetic algorithms for reliability-based optimization of water distribution systems
Author: Tolson, B.
Maier, H.
Simpson, A.
Lence, B.
Citation: Journal of Water Resources Planning and Management, 2004; 130(1):63-72
Publisher: ASCE-Amer Soc Civil Engineers
Issue Date: 2004
ISSN: 0733-9496
1943-5452
Statement of
Responsibility: 
Bryan A. Tolson, Holger R. Maier, Angus R. Simpson and Barbara J. Lence
Abstract: A new approach for reliability-based optimization of water distribution networks is presented. The approach links a genetic algorithm ~GA! as the optimization tool with the first-order reliability method ~FORM! for estimating network capacity reliability. Network capacity reliability in this case study refers to the probability of meeting minimum allowable pressure constraints across the network under uncertain nodal demands and uncertain pipe roughness conditions. The critical node capacity reliability approximation for network capacity reliability is closely examined and new methods for estimating the critical nodal and overall network capacity reliability using FORM are presented. FORM approximates Monte Carlo simulation reliabilities accurately and efficiently. In addition, FORM can be used to automatically determine the critical node location and corresponding capacity reliability. Network capacity reliability approximations using FORM are improved by considering two failure modes. This research demonstrates the novel combination of a GA with FORM as an effective approach for reliability-based optimization of water distribution networks. Correlations between random variables are shown to significantly increase optimal network costs.
Rights: © 2004 American Society of Civil Engineers
RMID: 0020040062
DOI: 10.1061/(ASCE)0733-9496(2004)130:1(63)
Appears in Collections:Civil and Environmental Engineering publications
Environment Institute publications

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