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Type: Journal article
Title: Comparison of genetic algorithm parameter setting methods for chlorine injection optimization
Author: Gibbs, M.
Maier, H.
Dandy, G.
Citation: Journal of Water Resources Planning and Management, 2010; 136(2):288-291
Publisher: ASCE-Amer Soc Civil Engineers
Issue Date: 2010
ISSN: 0733-9496
Abstract: The suitability of genetic algorithms GAs for the optimization of water distribution systems WDSs has been demonstrated extensively. However, despite many years of application in many different fields, the selection of the GA parameters remains a difficult and time consuming task. In this paper, two methodologies that do not require trial-and-error GA parameter calibration have been tested on a WDS optimization problem to determine their suitability for application in the water resources field and to assess their ability in locating near-optimal solutions. The results indicate that both approaches located solutions that were significantly better than a GA using typical parameter values, while the methodology based on convergence of the GA population located the best solutions overall. This method can be easily applied to assist GA users in identifying suitable GA parameters without requiring a time consuming trial-and-error approach.
Keywords: Calibration
genetic algorithms
evolutionary computation
water distribution systems
pipe networks
water supply
Rights: © ASCE / MARCH/APRIL 2010
DOI: 10.1061/(ASCE)WR.1943-5452.0000033
Appears in Collections:Aurora harvest 5
Civil and Environmental Engineering publications
Environment Institute publications

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