Volume 29, Issue 1 (IJIEPR 2018)                   IJIEPR 2018, 29(1): 103-112 | Back to browse issues page

XML Print

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

Sheibat Alhamdi A, Hosseinzadeh Kashani A. Random gravitational emulation search algorithm (RGES (in scheduling traveling salesman problem. IJIEPR. 2018; 29 (1) :103-112
URL: http://ijiepr.iust.ac.ir/article-1-795-en.html
1- correspond , andishesaaz@gmail.com
2- Azad University of Tehran(North-Tehran)
Abstract:   (1754 Views)
this article proposes a new algorithm for finding a good approximate set of non-dominated solutions for solving generalized traveling salesman problem. Random gravitational emulation search algorithm (RGES (is presented for solving traveling salesman problem. The algorithm based on random search concepts, and uses two parameters, speed and force of gravity in physics. The proposed algorithm is compared with genetic algorithm and experimental results show that the proposed algorithm has better performance and less runtime to be answered.
Full-Text [PDF 391 kb]   (478 Downloads)    
Type of Study: Research | Subject: Operations Managment
Received: 2017/10/24 | Accepted: 2018/03/3 | Published: 2018/03/3

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

Send email to the article author

© 2020 All Rights Reserved | International Journal of Industrial Engineering & Production Research

Designed & Developed by : Yektaweb