f-MOPSO: an alternative multi-objective PSO algorithm for conjunctive water use management
File(s)
Accepted version
Author(s)
Rezaei, F
Safavi, HR
Mirchi, A
Madani, K
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.
Date Issued
2016-09-21
Date Acceptance
2016-05-04
Citation
Journal of Hydro-Environment Research, 2016, 14, pp.1-18
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/
Subjects
Environmental Engineering
04 Earth Sciences
09 Engineering
Publication Status
Published