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Technical Papers
Mar 22, 2016

Development of a Comparative Multiple Criteria Framework for Ranking Pareto Optimal Solutions of a Multiobjective Reservoir Operation Problem

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Publication: Journal of Irrigation and Drainage Engineering
Volume 142, Issue 7

Abstract

Real-world, multiobjective, reservoir optimization problems (MOOPs) usually have conflicting objective functions. Multiobjective evolutionary algorithms (MOEAs) have been applied to solve multiobjective optimization problems. Given that MOOP solutions cannot minimize or maximize all objectives simultaneously, it is difficult to determine Pareto optimal solutions (POS). This paper presents a comparative multimethodological framework that implements five multicriteria decision-making methods (MCDMs) to determine POS for a single-reservoir system with three objective functions. The Borda technique was successfully employed to rank the MCDMs’ solutions. The reservoir system’s release, storage, and generated hydropower were optimized based on the best-ranked MCDMs’ solutions. This paper’s methodology introduces practical computational framework for making robust decisions in complex reservoir operation problems and demonstrates its applicability.

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Acknowledgments

This paper benefited from the insightful and constructive comments made by two anonymous reviewers and the associated editor.

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Go to Journal of Irrigation and Drainage Engineering
Journal of Irrigation and Drainage Engineering
Volume 142Issue 7July 2016

History

Received: Jun 19, 2015
Accepted: Jan 6, 2016
Published online: Mar 22, 2016
Published in print: Jul 1, 2016
Discussion open until: Aug 22, 2016

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Authors

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Omid Bozorg-Haddad [email protected]
Associate Professor, Dept. of Irrigation and Reclamation Engineering, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, Univ. of Tehran, Karaj, 3158777871 Tehran, Iran (corresponding author). E-mail: [email protected]
Ali Azarnivand [email protected]
Ph.D. Student, Dept. of Irrigation and Reclamation Engineering, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, Univ. of Tehran, Karaj, 3158777871 Tehran, Iran. E-mail: [email protected]
Seyed-Mohammad Hosseini-Moghari [email protected]
Ph.D. Candidate, Dept. of Irrigation and Reclamation Engineering, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, Univ. of Tehran, Karaj, 3158777871 Tehran, Iran. E-mail: [email protected]
Hugo A. Loáiciga, F.ASCE [email protected]
Professor, Dept. of Geography, Univ. of California, Santa Barbara, CA 93016-4060. E-mail: [email protected]

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