Waste-Load Allocation Using Genetic Algorithms
Publication: Journal of Water Resources Planning and Management
Volume 127, Issue 2
Abstract
This paper explores the capabilities of genetic algorithms for identifying solutions to waste-load allocation problems. Three optimization model formulations are developed for examining different waste-load allocation problems. Two of the model formulations address problems arising in the planning context while the third model addresses waste-load allocation decisions of use when developing an operational strategy for a river basin. The models can all be used to develop a trade-off relationship for a multiobjective optimization problem that would be of use to a decision maker when selecting a solution for implementation. The models developed are applied to a case study based on the Willamette River in Oregon and the resulting trade-off relationships are discussed both in objective space and in decision space.
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Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 127 • Issue 2 • April 2001
Pages: 121 - 129
History
Received: Jun 9, 1999
Published online: Apr 1, 2001
Published in print: Apr 2001
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