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Abstrakty
This paper discusses a heuristic approach for Team Orienteering Problems with Time Windows. The method we propose takes advantage of a solution model based on a hierarchic generalization of the original problem, which is combined with an Ant Colony System algorithm. Computational results on benchmark instances previously adopted in the literature suggest that the algorithm we propose is effective in practice.
Rocznik
Tom
Strony
287--306
Opis fizyczny
Bibliogr. 34 poz.
Twórcy
autor
autor
- Istituto Dalle Molle di Studi sull'Intelligenza Artificiale, Manno, Switzerland
Bibliografia
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- [6] I-M. Chao, B.L. Golden, and E.A. Wasil. The team orienteering problem. European Journal of Operational Research, 88:464-474, 1996.
- [7] J.-F. Cordeau, M. Gendreau, and G. Laporte. A tabu search heuristic for periodic and multi-depot vehicle routing problems. Networks, 30:105-119, 1997.
- [8] J. J. Dongarra. Performance of various computers using standard linear algebra software in a fortran environment. Technical Report CS-89-85, University of Tennessee, July 2009.
- [9] M. Dorigo, G. Di Caro, and L.M. Gambardella. Ant algorithms for discrete optimization. Artificial Life, 5:137-172, 1999.
- [10] M. Dorigo and L.M. Gambardella. Ant Colony System: a cooperative learning approach to the traveling salesman problem. IEEE Transactions on Evolutionary Computation, 1:53-66, 1997.
- [11] D. Feillet, P. Dejax, and M. Gendreau. Traveling salesman problems with profits. Transportation Science, 39(2):188-205, 2005.
- [12] M. Fischetti, J.J. Salazar-González, and P. Toth. Solving the orienteering problem through branch-and-cut. INFORMS Journal on Computing, 20:133-148, 1998.
- [13] L.M. Gambardella, É. Taillard, and G. Agazzi. MACS-VRPTW: a multiple ant colony system for vehicle routing problems with time windows, in New ideas in optimization, D. Corne et al. eds., McGraw-Hill, London, U.K., pages 63-76, 1999.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPP2-0014-0054