A method to solve the traveling salesman problem using ant colony optimization variants with ant set partitioning

Studies in Computational Intelligence

Volumn 451, Issue , 2013, Pages 237-246

  Lizárraga, Evelia ^a   Castillo, Oscar ^a   Soria, José ^a  

^a TIJUANA INSTITUTE OF TECHNOLOGY   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84870569805     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-33021-6_19     Document Type: Article

References (12)

1. Engelbrecht, A.: Fundamentals of Computational Swarm Intelligence, pp. 85-131. Wiley, England (2005
2. Naredo, E., Castillo, O.: ACO-Tuning of a Fuzzy Controller for the Ball and Beam Problem. In: Batyrshin, I., Sidorov, G. (eds.) MICAI 2011, Part II. LNCS, vol. 7095, pp. 58-69. Springer, Heidelberg (2011
3. Castillo, O., Martinez-Marroquin, R., Soria, J.: Parameter Tuning of Membership Functions of a Fuzzy Logic Controller for an Autonomous Wheeled Mobile Robot Using Ant Colony Optimization. In: IEEE International Conference on Systems, Man and Cybernetics (2009
4. Dorigo, M., Stützle, T.: Ant Colony Optimization, Massachusetts Institute of Technology (2004
5. Dorigo., D.M., Birattari, M., Stützle, T.: Ant Colony Optimization. IEEE Computational Intelligence Magazine, 28-39 (November 2006
6. Ginidi-Ginidi, A.R., Kamel, A.M.A.M., Dorrah, H.T.: Development of New Fuzzy Logic-based Ant Colony Optimization Algorithm for Combinatorial Problems. In: 14th International Middle East Power Systems Conference (MEPCON 2010), December 19-21, Cairo University, Egypt (2010), Paper ID 294
7. Eberhart, R.C., Kennedy, J.: A new optimizer using particle swarm theory. In: Proceedings of the Sixth International Symposium on Micro Machine and Human Science, pp. 39-43. IEEE service center, Piscataway (1995
8. Stützle, T., Hoos, H.H.: Improving the Ant System: A detailed report on the MAXMIN Ant System. Technical report AIDA-96-12, FG Intellektik, FB Informatik, TU Darmstadt, Germany (1996
9. Stützle, T., Hoos, H.H.: MAX-MIN Ant System and local search for combinatorial optimization problems. In: Voss, S., Martello, S., Osman, I., Roucairol, C. (eds.) Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimization, pp. 137-154. Kluwer Academic Publishers, Dordrecht (1999
10. Stüttzle, T., Hoos, H.H.: MAX-MIN Ant System. Future Generation Computer Systems 16(8), 889-914 (2000
11. Stützle, T., Linke, S.: Experiments with variants of ant algorithms. Mathware and Soft Computing 9(2-3), 193-207 (2002
12. TSPLIB Official page of TSP, http://comopt.ifi.uni-heidelberg.de/ software/TSPLIB95/STSP.html