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Apr 26, 2012
Application of Multi-Objective Particle Swarm Optimization in Operation Management of Reservoirs with Sedimentation Problems
Authors: Asghar Azadnia and Banafsheh ZahraieAuthor Affiliations
Publication: World Environmental and Water Resources Congress 2010: Challenges of Change
Abstract
Multipurpose reservoir operation often involves optimization of multiple conflicting objectives. In this paper, a Multi-objective Particle Swarm Optimization (MOPSO) is developed in which non-domination sorting and crowding distance approaches are used to find Pareto optimal solutions. The model is developed to optimize two objectives of water supply to downstream demand points and sediment removal from the reservoir through release control. The model is tested for the case study of Sefid-roud Reservoir in North of Iran which supplies water to several urban communities and agricultural lands and also suffers from significant storage loss due to high rate of sedimentation in the reservoir.
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World Environmental and Water Resources Congress 2010: Challenges of Change
Pages: 2260 - 2268
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© 2010 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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Asghar Azadnia
Graduate student, School of Civil Engineering, University of Tehran, Tehran, Iran
Banafsheh Zahraie
Associate Professor, School of Civil Engineering, University of Tehran, Tehran, Iran
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