Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/80914
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Type: Journal article
Title: Genetic algorithms compared to other techniques for pipe optimization
Author: Simpson, A.
Dandy, G.
Murphy, L.
Citation: Journal of Water Resources Planning and Management, 1994; 120(4):423-443
Publisher: American Society of Civil Engineers
Issue Date: 1994
ISSN: 0733-9496
1943-5452
Statement of
Responsibility: 
Angus R. Simpson, Graeme C. Dandy and Laurence J. Murphy
Abstract: The genetic algorithm technique is a relatively new optimization technique. In this paper we present a methodology for optimizing pipe networks using genetic algorithms. Unknown decision variables are coded as binary strings. We investigate a three-operator genetic algorithm comprising reproduction, crossover, and mutation. Results are compared with the techniques of complete enumeration and nonlinear programming. We apply the optimization techniques to a case study pipe network. The genetic algorithm technique finds the global optimum in relatively few evaluations compared to the size of the search space.
Rights: Copyright © 1994 American Society of Civil Engineers
RMID: 0030000322
DOI: 10.1061/(ASCE)0733-9496(1994)120:4(423)
Appears in Collections:Civil and Environmental Engineering publications

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