The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
MAX-MIN Ant System and local search for the traveling salesman problem
Abstract
Ant System is a general purpose algorithm inspired by the study of the behavior of ant colonies. It is based on a cooperative search paradigm that is applicable to the solution of combinatorial optimization problems. We introduce MAX-MIN Ant System, an improved version of basic Ant System, and report our results for its application to symmetric and asymmetric instances of the well known traveling salesman problem. We show how MAX-MIN Ant System can be significantly improved, extending it with local search heuristics. Our results clearly show that MAX-MIN Ant System has the property of effectively guiding the local search heuristics towards promising regions of the search space by generating good initial tours.
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Cites
Ant system: optimization by a colony of cooperating agents
Dorigo, M., Maniezzo, V., & Colorni, A. (1996) · IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) · doi:10.1109/3477.484436 · Cited by 12,067
Ant colony system: a cooperative learning approach to the traveling salesman problem
Dorigo, M., & Gambardella, L. M. (1997) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.585892 · Cited by 8,081
Optimization, Learning and Natural Algorithms
Dorigo, M. (1992) · Medical Entomology and Zoology · Cited by 3,307
Greedy Randomized Adaptive Search Procedures
Feo, T. A., & Resende, M. G. C. (1995) · Journal of Global Optimization · doi:10.1007/bf01096763 · Cited by 2,778
Distributed Optimization by Ant Colonies
Colorni, A., Dorigo, M., Maniezzo, V., Varela, F. J., & Bourgine, P. (1992) · Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) · Cited by 2,748
TSPLIB—A Traveling Salesman Problem Library
Reinelt, G. (1991) · ORSA Journal on Computing · doi:10.1287/ijoc.3.4.376 · Cited by 2,616
Greedy Randomized Adaptive Search Procedures
Resende, M. G. C., & Ribeiro, C. C. (2006) · International Series in Operations Research & Management Science · doi:10.1007/0-306-48056-5_8 · Cited by 2,310
The Traveling Salesman Problem
(2019) · Fundamentals of Supply Chain Theory · doi:10.1002/9781119584445.ch10 · Cited by 1,614
Lau, H. T. (1986) · Lecture Notes in Economics and Mathematical Systems · doi:10.1007/978-3-642-61649-5_4 · Cited by 796
The ant system applied to the quadratic assignment problem
Maniezzo, V., & Colorni, A. (1999) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/69.806935 · Cited by 744
Cited by
Ant colony system: a cooperative learning approach to the traveling salesman problem
Dorigo, M., & Gambardella, L. M. (1997) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.585892 · Cited by 8,081
Hoos (2000) · doi:10.1016/s0167-739x(00)00043-1 · Cited by 2,737
Metaheuristics in Combinatorial Optimization
Gendreau, M., & Potvin, J.-Y. (2005) · Annals of Operations Research · doi:10.1007/s10479-005-3971-7 · Cited by 2,338
A survey of swarm intelligence for dynamic optimization: Algorithms and applications
Mavrovouniotis, M., Li, C., & Yang, S. (2017) · Swarm and Evolutionary Computation · doi:10.1016/j.swevo.2016.12.005 · Cited by 585
Ant Colony Optimization: Overview and Recent Advances
Dorigo, M., & Stützle, T. (2010) · International Series in Operations Research & Management Science · doi:10.1007/978-1-4419-1665-5_8 · Cited by 579
Metadata
- Authors
- Stutzle, T., & Hoos, H.
- Venue
- Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97)
- Publisher
- IEEE
- Published
- 2002-11-22
- Pages
- 309-314
- OpenAlex
- W2107631366
- Cited by
- 831
- References
- 18
- FWCI
- 20.12
- Type
- conference paper
- Language
- en
- Open access
- closed
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