A dynamic max-min ant system for solving the travelling salesman problem

Bonyadi, Mohammad Reza and Shah-Hosseini, Hamed (2010) A dynamic max-min ant system for solving the travelling salesman problem. International Journal of Bio-Inspired Computation, 2 6: 422-433. doi:10.1504/IJBIC.2010.037022

Author Bonyadi, Mohammad Reza
Shah-Hosseini, Hamed
Title A dynamic max-min ant system for solving the travelling salesman problem
Journal name International Journal of Bio-Inspired Computation   Check publisher's open access policy
ISSN 1758-0366
Publication date 2010
Sub-type Article (original research)
DOI 10.1504/IJBIC.2010.037022
Volume 2
Issue 6
Start page 422
End page 433
Total pages 12
Language eng
Subject 1700 Computer Science
2614 Theoretical Computer Science
Abstract In this paper, a modified max-min ant system, called dynamic max-min ant system (DMAS) is proposed to solve the travelling salesman problem (TSP). The proposed algorithm updates the value of t min, the lower bound of pheromone trails during its run. In addition, the used parameters for the DMAS are adjusted to improve the performance of the method. Furthermore, a local search based on 2-Opt is adjoined to the DMAS and the results are reported. Moreover, the DMAS is applied to some standard TSPs and its results are compared to some previous works. Results show that the proposed method outperforms several other well-known population-based methods in many cases. Also, in some standard problems, the proposed method improves the shortest known tour lengths. Moreover, experiments show that the standard deviation of tour lengths that are found by DMAS is very small, which exhibits the stability of the proposed algorithm. Copyright
Keyword Ant colony optimisation
Ant system
Intelligent water drops
Max-min ant system
Travelling salesman problem
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
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Scopus Citation Count Cited 9 times in Scopus Article | Citations
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