Please use this identifier to cite or link to this item:
https://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 |
DOI: | 10.1061/(ASCE)0733-9496(1994)120:4(423) |
Published version: | http://dx.doi.org/10.1061/(asce)0733-9496(1994)120:4(423) |
Appears in Collections: | Aurora harvest 2 Civil and Environmental Engineering publications |
Files in This Item:
File | Description | Size | Format | |
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hdl_80914.pdf | Accepted version | 1.02 MB | Adobe PDF | View/Open |
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