Ant Colony Optimization Applied to Water Distribution System Design: Comparative Study of Five Algorithms
Publication: Journal of Water Resources Planning and Management
Volume 133, Issue 1
Abstract
Water distribution systems (WDSs) are costly infrastructure, and much attention has been given to the application of optimization methods to minimize design costs. In previous studies, ant colony optimization (ACO) has been found to perform extremely competitively for WDS optimization. In this paper, five ACO algorithms are tested: one basic algorithm (ant system) and four more advanced algorithms [ant colony system, elitist ant system, elitist-rank ant system , and max-min ant system (MMAS)]. Experiments are carried out to determine their performance on four WDS case studies, three of which have been considered widely in the literature. The findings of the study show that some ACO algorithms are very successful for WDS design, as two of the ACO algorithms (MMAS and ) outperform all other algorithms applied to these case studies in the literature.
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Acknowledgments
The writers thank Dr. Stephen Carr, Mr. Andrew J. Roberts, and Mr. Matthew J. Berrisford for their work in the development and simulation phase, and The University of Adelaide and United Water International Pty. Ltd. for their financial assistance.
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Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 133 • Issue 1 • January 2007
Pages: 87 - 92
Copyright
© 2007 ASCE.
History
Received: Jul 16, 2004
Accepted: Feb 15, 2006
Published online: Jan 1, 2007
Published in print: Jan 2007
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