Volume 5, Number 2 (3-2015)                   2015, 5(2): 167-187 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Ahmadianfar I, Adib A, Taghian M. A MULTI-OBJECTIVE EVOLUTIONARY ALGORITHM USING DECOMPOSITION (MOEA/D) AND ITS APPLICATION IN MULTIPURPOSE MULTI-RESERVOIR OPERATIONS. International Journal of Optimization in Civil Engineering. 2015; 5 (2) :167-187
URL: http://ijoce.iust.ac.ir/article-1-208-en.html

Abstract:   (2051 Views)
This paper presents a Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) for the optimal operation of a complex multipurpose and multi-reservoir system. Firstly, MOEA/D decomposes a multi-objective optimization problem into a number of scalar optimization sub-problems and optimizes them simultaneously. It uses information of its several neighboring sub-problems for optimizing each sub-problem. This simple procedure makes MOEA/D have lower computational complexity compared with non-dominated sorting genetic algorithm II (NSGA-II). The algorithm (MOEA/D) is compared with the Genetic Algorithm (NSGA-II) using a set of common test problems and the real-world Zohre reservoir system in southern Iran. The objectives of the case study include water supply of minimum flow and agriculture demands over a long-term simulation period. Experimental results have demonstrated that MOEA/D can improve system performance to reduce the effect of drought compared with NSGA-II superiority. Therefore, MOEA/D is highly competitive and recommended to solve multi-objective optimization problems for water resources planning and management.
Full-Text [PDF 1106 kb]   (1409 Downloads)    
Type of Study: Research | Subject: Optimal design
Received: 2015/03/12 | Accepted: 2015/03/12 | Published: 2015/03/12

© 2015 All Rights Reserved | Iran University of Science & Technology

Designed & Developed by : Yektaweb