Volume 36, Issue 1 (9-2017)                   JCME 2017, 36(1): 115-136 | Back to browse issues page

XML Persian Abstract Print

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

Moeini R. Optimal Design of Sewer Network Size using Ant Colony Optimization Algorithm: Comparing Performance of Four Different Algorithms. JCME. 2017; 36 (1) :115-136
URL: http://jcme.iut.ac.ir/article-1-687-en.html
Department of Civil Engineering, University of Isfahan, Isfahan, Iran , r.moeini@eng.ui.ac.ir
Abstract:   (2984 Views)
In this paper, the features of Ant Colony Optimization Algorithm (ACOA) are used to find optimal size for sewer network. Two different formulations are proposed. In the first formulation, pipes diameters and in the second formulation, nodal elevations of sewer network are taken as decision variables of the problem. In order to evaluate the performance of different ACOAs, four algorithms of Ant System, Elitist Ant System, Ranked Ant System and Max-Min Ant System are used to solve this optimization problem. Different test examples are solved using two proposed formulations for each ACOAs and the results are presented and compared with other available results. The results indicate the efficiency of the proposed methods in the solation of sewer network design optimization problem and the results of Max-Min Ant System are better in comparison with other ACOAs.
Full-Text [PDF 1173 kb]   (1194 Downloads)    
Type of Study: Research | Subject: Special
Received: 2017/09/5 | Accepted: 2017/09/5 | Published: 2017/09/5

Add your comments about this article : Your username or Email:

Send email to the article author

© 2021 All Rights Reserved | Computational Methods in Engineering

Designed & Developed by : Yektaweb