ID:
publications-4503
Type:
article
Year:
1994
Authors:
Simpson, Angus R. and Simpson, Angus R. and Dandy, Graeme C. and Dandy, Graeme C. and Murphy, Laurence and Murphy, Laurence J. and Murphy, L.
Title:
Genetic algorithms compared to other techniques for pipe optimization
Venue/Journal:
Journal of Water Resources Planning and Management
DOI:
10.1061/(asce)0733-9496(1994)120:4(423)
Research type:
Water System:
Technical Focus:
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.
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