• Home
  • Browse
    • Current Issue
    • By Issue
    • By Author
    • By Subject
    • Author Index
    • Keyword Index
  • Submit Paper
  • Journal Info
    • About Journal
    • Aims and Scope
    • Editorial Board
    • Advisory Editorial Board
    • Editorial Staff
    • Publication Ethics
    • Indexing Databases
    • Related Links
    • FAQ
    • Peer Review Process
    • News
  • Guide for Authors
  • Reviewers
  • Contact Us
 
  • Login
  • Register
Home Article Info
  • Save Records
  • |
  • Printable Version
  • |
  • Recommend
  • |
  • Export to
    RIS
International Journal of Supply and Operations Management
Articles in Press
Current Issue
Journal Archive
Volume Volume 3 (2016)
Volume Volume 2 (2015)
Volume Volume 1 (2014)

Capacitated Windy Rural Postman Problem with Several Vehicles: A Hybrid Multi-Objective Simulated Annealing Algorithm

Article 3, Volume 2, Issue 4, Winter 2016, Page 1003-1020  XML PDF (813 K)
Document Type: Research Paper
Authors
1 Masoud Rabbani ; 2 Safoura Famil Alamdar; 3 Hamed Farrokhi-Asl
1College of Engineering, University of Tehran, Tehran, Iran
2School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
3School of Industrial Engineering, Iran University of Science & Technology, Tehran, Iran
Abstract
This paper presents the capacitated Windy Rural Postman Problem with several vehicles. For this problem, two objectives are considered. One of them is the minimization of the total cost of all vehicle routes expressed by the sum of the total traversing cost and another one is reduction of the maximum cost of vehicle route in order to find a set of equitable tours for the vehicles. Mathematical formulation is provided. The multi-objective simulated annealing (MOSA) algorithm has been modified for solving this bi-objective NP-hard problem. To increase algorithm performance, Taguchi technique is applied to design experiments for tuning parameters of the algorithm. Numerical experiments are proposed to show efficiency of the model. Finally, the results of the MOSA have been compared with MOCS (multi-objective Cuckoo Search algorithm) to validate the performance of the proposed algorithm. The experimental results indicate that the proposed algorithm provides good solutions and performs significantly better than the MOCS.
Keywords
Windy rural postman problem; Multi-objective simulated annealing algorithm (MOSA); Multi-objective Cuckoo Search (MOCS); NP-hard problem
Main Subjects
optimization in supply chain management
Statistics
Article View: 836
PDF Download: 672
Home | Glossary | News | Aims and Scope | Sitemap
Top Top

linkedin
© 2017 - Journal Management System. Created by sinaweb.