Volume 22, Issue 1 (IJIEPR 2011)                   IJIEPR 2011, 22(1): 31-42 | Back to browse issues page

XML Print

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

Yaghini M, Momeni M, Sarmadi M. Finding the Shortest Hamiltonian Path for Iranian Cities Using Hybrid Simulated Annealing and Ant Colony Optimization Algorithms. IJIEPR. 2011; 22 (1) :31-42
URL: http://ijiepr.iust.ac.ir/article-1-272-en.html
Assistant Professor, School of Railway Engineering, Iran University of Science and Technology, Tehran, Iran , yaghini@iust.ac.ir
Abstract:   (6724 Views)

  The traveling salesman problem is a well-known and important combinatorial optimization problem. The goal of this problem is to find the shortest Hamiltonian path that visits each city in a given list exactly once and then returns to the starting city. In this paper, for the first time, the shortest Hamiltonian path is achieved for 1071 Iranian cities. For solving this large-scale problem, two hybrid efficient and effective metaheuristic algorithms are developed. The simulated annealing and ant colony optimization algorithms are combined with the local search methods. To evaluate the proposed algorithms, the standard problems with different sizes are used. The algorithms parameters are tuned by design of experiments approach and the most appropriate values for the parameters are adjusted. The performance of the proposed algorithms is analyzed by quality of solution and CPU time measures. The results show high efficiency and effectiveness of the proposed algorithms .

Full-Text [PDF 2154 kb]   (3437 Downloads)    
Type of Study: Research | Subject: Other Related Subject
Received: 2011/06/26

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

Send email to the article author

© 2018 All Rights Reserved | International Journal of Industrial Engineering & Production Research

Designed & Developed by : Yektaweb