U-Turning Ant Colony Algorithm for Solving Symmetric Traveling Salesman Problem

  • Saman M. Almufti College of Computer and Information Technology, Nawroz University, Duhok, Kurdistan Region - Iraq
  • Awaz A. Shaban College of Computer and Information Technology, Nawroz University, Duhok, Kurdistan Region - Iraq

Abstract

This paper provides a new Ant based algorithms called U-Turning Ant colony optimization (U-TACO) for solving a well-known NP-Hard problem, which is widely used in computer science field called Traveling Salesman Problem (TSP). Generally U-Turning Ant colony Optimization Algorithm makes a partial tour as an initial state for the basic conventional Ant Colony algorithm. This paper provides tables and charts for the results obtained by U-Turning Ant colony Optimization for various TSP problems from the TSPLIB95.

References

Almufti, S. (2015). U-Turning Ant Colony Algorithm powered by Great Deluge Algorithm for the solution of TSP Problem. [online] Hdl.handle.net. Available at: http://hdl.handle.net/11129/1734 [Accessed 5 Aug. 2018].
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Published
2018-12-21
How to Cite
ALMUFTI, Saman M.; SHABAN, Awaz A.. U-Turning Ant Colony Algorithm for Solving Symmetric Traveling Salesman Problem. Academic Journal of Nawroz University, [S.l.], v. 7, n. 4, p. 45-49, dec. 2018. ISSN 2520-789X. Available at: <http://journals.nawroz.edu.krd/index.php/ajnu/article/view/270>. Date accessed: 20 jan. 2019. doi: https://doi.org/10.25007/ajnu.v7n4a270.
Section
Articles