Optimization of Water Distribution and Water Quality by Hybrid Genetic Algorithm
Publication: Journal of Water Resources Planning and Management
Volume 131, Issue 6
Abstract
This paper develops a multicommodity flow model to optimize water distribution and water quality in a regional water supply system. Waters from different sources with different qualities are considered as distinct commodities that concurrently share a single water distribution system. The model can accommodate two-way flow pipes, represented by undirected arcs, and the perfect mixing condition. Additionally, blending requirements are specified at certain control nodes within the system to ensure that downstream users receive the desired water quality. The optimization model is highly nonlinear and solved by a hybrid genetic algorithm (GA). The GA is first used to globally search for the directions of all undirected arcs. Then a generalized reduced gradient (GRG) algorithm embedded in the GA is used to optimize the objective function for fitness evaluation. The proposed methodology was first tested and verified on a hypothetical system and then applied to the regional water distribution system of the Metropolitan Water District of Southern California. The results obtained indicate that the proposed hybrid GA is a viable way of converting an undirected network to a directed network by separating the complicating variables, and that the resulting directed network model can be solved iteratively and efficiently by a gradient-based algorithm.
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Acknowledgments
The activities on which this report is based were financed in part by the Department of the Interior, U.S. Geological Survey, through the Regents of the University of California. The content of this publication does not necessarily reflect the views and policies of the Dept. of the Interior, nor does mention of trade names or commercial products constitute their endorsement of the United States Government. The research reported here also was supported in part by the University of California Water Resources Center through project W-934. The authors would like to acknowledge three anonymous reviewers for their in-depth reviews and constructive comments.
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Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 131 • Issue 6 • November 2005
Pages: 431 - 440
Copyright
© 2005 ASCE.
History
Received: Oct 13, 2004
Accepted: Jan 26, 2005
Published online: Nov 1, 2005
Published in print: Nov 2005
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