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f-MOPSO: an alternative multi-objective PSO algorithm for conjunctive water use management

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Title: f-MOPSO: an alternative multi-objective PSO algorithm for conjunctive water use management
Authors: Rezaei, F
Safavi, HR
Mirchi, A
Madani, K
Item Type: Journal Article
Abstract: In recent years, evolutionary techniques have been widely used to search for the global optimum of combinatorial non-linear non-convex problems. In this paper, we present a new algorithm, named fuzzy Multi-Objective Particle Swarm Optimization (f-MOPSO) to improve conjunctive surface water and groundwater management. The f-MOPSO algorithm is simple in concept, easy to implement, and computationally efficient. It is based on the role of weighting method to define partial performance of each point (solution) in the objective space. The proposed algorithm employs a fuzzy inference system to consider all the partial performances for each point when optimizing the objective function values. The f-MOPSO algorithm was compared with two other well-known MOPSOs through a case study of conjunctive use of surface and groundwater in Najafabad Plain in Iran considering two management models, including a typical 12-month operation period and a 10-year planning horizon. Overall, the f-MOPSO outperformed the other MOPSO algorithms with reference to performance criteria and Pareto-front analysis while nearly fully satisfying water demands with least monthly and cumulative groundwater level (GWL) variation. The proposed algorithm is capable of finding the unique optimal solution on the Pareto-front to facilitate decisions to address large-scale optimization problems.
Issue Date: 21-Sep-2016
Date of Acceptance: 4-May-2016
URI: http://hdl.handle.net/10044/1/43121
DOI: http://dx.doi.org/10.1016/j.jher.2016.05.007
ISSN: 1876-4444
Publisher: Elsevier
Start Page: 1
End Page: 18
Journal / Book Title: Journal of Hydro-Environment Research
Volume: 14
Copyright Statement: © 2016, Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Keywords: Environmental Engineering
04 Earth Sciences
09 Engineering
Publication Status: Published
Appears in Collections:Centre for Environmental Policy
Grantham Institute for Climate Change
Faculty of Natural Sciences