Multiobjective Optimization for Water Distribution System Design Using a Hyperheuristic
Publication: Journal of Water Resources Planning and Management
Volume 136, Issue 5
Abstract
Several modern multiobjective algorithms are compared with respect to the biobjective optimization of water distribution systems’ design, considering the objectives of cost minimization and reliability maximization. A new unbiased algorithmic comparison strategy is suggested using hypervolume convergence. A recent hyperheuristic named AMALGAM, which dynamically combines the strengths of multiple metaheuristics, is applied to this problem for the first time, demonstrating superior performance. The shortcomings of a novel multiobjective greedy algorithm are also demonstrated.
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Acknowledgments
Work toward this study was supported financially by the Harry Crossley Foundation in the form of a bursary for D.R.’s MSc study, as well as by the National Research Foundation in the form of a research grant (Grant No. UNSPECIFIEDGUN 2072999) awarded to J.V.
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Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 136 • Issue 5 • September 2010
Pages: 592 - 596
Copyright
© 2010 ASCE.
History
Received: Jan 28, 2009
Accepted: Oct 14, 2009
Published online: Aug 13, 2010
Published in print: Sep 2010
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