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Type: Journal article
Title: Ant colony optimization applied to water distribution system design: Comparative study of five algorithms
Author: Zecchin, A.
Maier, H.
Simpson, A.
Leonard, M.
Nixon, J.
Citation: Journal of Water Resources Planning and Management, 2007; 133(1):87-92
Publisher: ASCE-Amer Soc Civil Engineers
Issue Date: 2007
ISSN: 0733-9496
Statement of
Aaron C. Zecchin, Holger R. Maier, Angus R. Simpson, Michael Leonard, and John B. Nixon
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 ASrank , 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 ASrank outperform all other algorithms applied to these case studies in the literature.
Keywords: Metaheuristics
Ant Colony Optimisation
Water Distribution Systems
Rights: © ASCE 2007
DOI: 10.1061/(ASCE)0733-9496(2007)133:1(87)
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Appears in Collections:Aurora harvest 7
Civil and Environmental Engineering publications
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