Pillac, V., Guéret, C., & Medaglia, A. L. (2012). On the dynamic Technician Routing and Scheduling Problem. Technical Report 12/5/AUTO, Ecole des Mines de Nantes, France.
Technical Reports
Pillac, V., Guéret, C., & Medaglia, A. L. (2012). A fast reoptimization approach for dynamic vehicle routing. Technical Report 12/6/AUTO, Ecole des Mines de Nantes, France.
Pillac, V., Gendreau, M., Guéret, C., & Medaglia, A. L. (2011). A review of dynamic vehicle routing problems. Technical Report CIRRELT – 2011- 62, Centre interuniversitaire de recherche sur les réseaux d’enterprise, la logistique et le transport (CIRRELT). Available at: https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2011-62.pdf
V. Pillac, C. Guéret, A. Medaglia, An event-driven optimization framework for dynamic vehicle routing, Technical Report 11/2/AUTO, Ecole des Mines de Nantes, France, 2011
Pillac, V., Guéret, C. and Medaglia, A. L., Dynamic Vehicle Routing: State of the Art and Prospects, Technical Report 10/4/AUTO, Ecole des Mines de Nantes, France, 2010
Flórez, D. C., Walteros, J. L., Vargas, M. A., Medaglia, A. L., and Velasco, N. (2009). A mathematical programming approach to airline crew pairing optimization. Technical Report No.: COPA-2009-100. Universidad de los Andes.
Sefair, J. A., Medaglia, A. L., Cohen, M.-d. (2008). Método de Puntaje Óptimo (MPO). Technical Report No.: COPA-2008-4. Universidad de los Andes.
Mendoza, J. E., Castanier, B., Guéret, C., Medaglia, A. L., and Velasco, N. M. Approximating the expected recursion cost on a Multi-Compartment Vehicle Routing Problem with Stochastic Demands. Technical Report N: 08/X/AUTO. École des Mines de Nantes. France. 2008.
Mendoza, J. E., Castanier, B., Guéret, C., Medaglia, A. L., and Velasco, N. M. An instance generator for Vehicle Routing Problems with Stochastic Demands. Technical Report N: 08/1/AUTO. École des Mines de Nantes. France. 2008.
Guerrero, W., Amaya, C. A., Velasco, N.. Modelos de optimización para el manejo eficiente de pacientes en el sistema integral de referencia y contra-referencia en situaciones normales y de excepción. Tech. Rep. N: PYLO 2007 – 12 – 2. Universidad de los Andes. 21-Jan-2008.
COPA supports the decision making process at organizations via the analysis, design and application of operations research (OR) and statistical computer-based techniques. Our purpose is to contribute to the scientific and technological development of Colombia, becoming a leading group in R&D.