Skip to main contentSkip to search
Episciences
Open Access Journals
|Sign in(new window)
Revue Africaine de Recherche en Informatique et Mathématiques Appliquées logo
Revue Africaine de Recherche en Informatique et Mathématiques Appliquées
Revue Africaine de Recherche en Informatique et Mathématiques Appliquées logo
Revue Africaine de Recherche en Informatique et Mathématiques Appliquées
|Sign in(new window)
Articles & Issues
All articlesAll accepted articlesAll volumesLast volumeSpecial issuesAuthors
About
The journalIndexingNewsStatistics
Boards
Publish
For authorsEthical charterFor reviewersProposing special issues
Submit
Revue Africaine de Recherche en Informatique et Mathématiques Appliquées logo
Contact
|
Credits
eISSN 1638-5713
|
RSS
|
Atom
Episciences
Documentation
|
Acknowledgements
|
Publishing policy
Accessibility: non-compliant
|
Legal mentions
|
Privacy statement
|
Terms of use
  1. Home > Articles & Issues >
  2. Articles >
  3. A Multi Ant Colony O ...
Article

A Multi Ant Colony Optimization Approach For The Traveling Salesman Problem

Mathurin Soh, Baudoin Nguimeya Tsofack (1), Clémentin Tayou Djamegni (1)
(1) Unité de Recherche en Informatique Fondamentale, Ingénierie et Applications [Dschang]
Download article
Open on HAL
Submitted on
September 2, 2020
Accepted on
January 15, 2021
Published on
July 12, 2021
Last modified on
March 31, 2025
Special issue 34
Volume 34 - Special Issue CARI 2020
DOI
10.46298/arima.6752
License
https://about.hal.science/hal-authorisation-v1
Indicators
1037
Views
766
Downloads

A Multi Ant Colony Optimization Approach For The Traveling Salesman Problem

Mathurin Soh, Baudoin Nguimeya Tsofack (1), Clémentin Tayou Djamegni (1)
(1) Unité de Recherche en Informatique Fondamentale, Ingénierie et Applications [Dschang]
Abstract
In this paper, we propose a new approach to solving the Traveling Salesman Problem (TSP), for which no exact algorithm is known that allows to find a solution in polynomial time. The proposed approach is based on optimization by ants. It puts several colonies in competition for improved solutions (in execution time and solution quality) to large TSP instances, and allows to efficiently explore the range of possible solutions. The results of our experiments show that the approach leads to better results compared to other heuristics from the literature, especially in terms of the quality of solutions obtained and execution time.
Keywords
  • [INFO.INFO-RO]Computer Science [cs]/Operations Research [math.OC]
  • Ants
  • Colony
  • Heuristic
  • Multi-colony
  • Traveling Salesman Problem
Preview
Loading PDF preview...