Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/80909
Type: Conference paper
Title: A review of pipe network optimisation techniques
Author: Dandy, G.
Simpson, A.
Murphy, L.
Citation: 2nd Australasian Conference on Computing for the Water Industry Today and Tomorrow; Preprints of Papers, Melbourne, Australia, 30 Mar-1 Apr 1993: pp. 373-383
Publisher: Institution of Engineers, Australia
Issue Date: 1993
Series/Report no.: INSTITUTION OF ENGINEERS, AUSTRALIA : NATIONAL CONFERENCE PUBLICATIONS
ISBN: 0858255723
ISSN: 0313-6922
Conference Name: Australasian Conference on Computing for the Water Industry Today and Tomorrow (2nd : 1993 : Melbourne, Victoria)
Statement of
Responsibility: 
G. C. Dandy, A. R. Simpson, L. J. Murphy
Abstract: Millions of dollars are spent each year on water distribution supply infrastructure. Computer analysis of pipe networks is now common place, however, the use of pipe optimisation techniques has been limited. The use of optimisation techniques provides an opportunity for potential savings in costs for water supply authorities. This paper reviews four optimisation techniques including partial enumeration, non-linear programming, linear programming and genetic algorithms. The first 3 techniques have been applied to pipe network optimisation in the research literature over the last 15 years or so. Genetic algorithms provide a new approach to pipe network optimisation pioneered over the last 3 years at the University of Adelaide. Details of each method are presented in this paper. Each method is then applied to a case study and the ease of use of each method is assessed. Genetic algorithms and non-linear programming provide the least-cost solutions.
Rights: © 1993 The Institution of Engineers, Australia
Published version: http://search.informit.com.au/documentSummary;dn=403529553962724;res=IELENG
Appears in Collections:Aurora harvest
Civil and Environmental Engineering publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.