Comparison of Genetic Algorithm Parameter Setting Methods for Chlorine Injection Optimization
Publication: Journal of Water Resources Planning and Management
Volume 136, Issue 2
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.
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Acknowledgments
This work was supported in part by an Australian Postgraduate Award from the Australian Commonwealth Department of Education, Science and Training, and in part by the Cooperative Research Centre for Water Quality and Treatment, Project No. UNSPECIFIED2.5.0.3. The writers thank eResearch SA for the use of their facilities in generating the results presented in this paper, and also the anonymous reviewers for their comments and suggestions, which improved the quality of this paper.
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Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 136 • Issue 2 • March 2010
Pages: 288 - 291
Copyright
© 2010 ASCE.
History
Received: Aug 26, 2008
Accepted: May 11, 2009
Published online: May 15, 2009
Published in print: Mar 2010
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