Technical Papers
Oct 27, 2015

Weed Optimization Algorithm for Optimal Reservoir Operation

Publication: Journal of Irrigation and Drainage Engineering
Volume 142, Issue 2

Abstract

This study introduces the weed optimization algorithm (WOA) to optimal reservoir operation. The WOA is a metaheuristic optimization method inspired by weeds’ life cycle. The effectiveness of the WOA is demonstrated with the optimization of mathematical functions and reservoir systems. The WOA is applied in continuous-time and discrete-time formulations of reservoir-operation optimization and its results are compared with global optimal solutions obtained with nonlinear programming (NLP), linear programming (LP), and the genetic algorithm (GA). The results show the WOA’s fast convergence to solutions that are very near the global optimal solutions of the reservoir optimization problems.

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Go to Journal of Irrigation and Drainage Engineering
Journal of Irrigation and Drainage Engineering
Volume 142Issue 2February 2016

History

Received: Feb 27, 2015
Accepted: Jul 28, 2015
Published online: Oct 27, 2015
Published in print: Feb 1, 2016
Discussion open until: Mar 27, 2016

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Authors

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Hamid-Reza Asgari [email protected]
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]
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]
Maryam Pazoki [email protected]
Assistant Professor, Faculty of Environment, College of Environmental Engineering, 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 93106-4060. E-mail: [email protected]

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