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Journal article (144) Conference paper (32) Book (2) Book chapter (3) Patent Report (39) Thesis Dataset Teaching resource Image Audio recording Video recording Other

Michel Gendreau (220)

  • Journal articles (144)
    • 2022
      • Journal article
        Zhang, X., Chen, L., Gendreau, M. & Langevin, A. (2022). A branch-and-cut algorithm for the vehicle routing problem with two-dimensional loading constraints. European Journal of Operational Research, 302(1), 259-269. Retrieved from https://doi.org/10.1016/j.ejor.2021.12.050
      • Journal article
        Zhang, X., Chen, L., Gendreau, M. & Langevin, A. (2022). A branch-and-price-and-cut algorithm for the vehicle routing problem with two-dimensional loading constraints. Transportation Science, 19 pages. Retrieved from https://doi.org/10.1287/trsc.2022.1135
      • Journal article
        Butkeraites, R.B.C., de Salles Neto, L.L. & Gendreau, M. (2022). A sampling-based multi-objective iterative robust optimization method for Bandwidth Packing Problem. Expert Systems with Applications, 203, 8 pages. Retrieved from https://doi.org/10.1016/j.eswa.2022.117337
      • Journal article
        Ghorbani, M., Nourelfath, M. & Gendreau, M. (2022). A two-stage stochastic programming model for selective maintenance optimization. Reliability Engineering & System Safety, 223, 14 pages. Retrieved from https://doi.org/10.1016/j.ress.2022.108480
      • Journal article
        Torres, F., Gendreau, M. & Rei, W. (2022). Crowdshipping: An open VRP variant with stochastic destinations. Transportation Research Part C-Emerging Technologies, 140, 19 pages. Retrieved from https://doi.org/10.1016/j.trc.2022.103677
      • Journal article
        Mohri, S.S., Mohammadi, M., Gendreau, M., Pirayesh, A., Ghasemaghaei, A. & Salehi, V. (2022). Hazardous material transportation problems: A comprehensive overview of models and solution approaches. European Journal of Operational Research, 302(1), 38 pages. Retrieved from https://doi.org/10.1016/j.ejor.2021.11.045
      • Journal article
        Zhang, X., Chen, L., Gendreau, M. & Langevin, A. (2022). Learning-Based Branch-and-Price Algorithms for the Vehicle Routing Problem with Time Windows and Two-Dimensional Loading Constraints. INFORMS Journal on Computing, 34(3), 1305-1840. Retrieved from https://doi.org/10.1287/ijoc.2021.1110
      • Journal article
        Florio, A.M., Gendreau, M., Hartl, R.F., Minner, S. & Vidal, T. (2022). Recent advances in vehicle routing with stochastic demands: Bayesian learning for correlated demands and elementary branch-price-and-cut. European Journal of Operational Research, 13 pages. Retrieved from https://doi.org/10.1016/j.ejor.2022.10.045
      • Journal article
        Martinez, I., Hafid, A.S. & Gendreau, M. (2022). Robust and Fault-tolerant Fog Design Dimensioning for Reliable Operation. IEEE Internet of Things Journal, 13 pages. Retrieved from https://doi.org/10.1109/JIOT.2022.3157557
      • Journal article
        Gribel, D., Gendreau, M. & Vidal, T. (2022). Semi-supervised clustering with inaccurate pairwise annotations. Information Sciences, 607, 441-457. Retrieved from https://doi.org/10.1016/j.ins.2022.05.035
      • Journal article
        Yao, Z., Gendreau, M., Li, M., Ran, L. & Wang, Z. (2022). Service operations of electric vehicle carsharing systems from the perspectives of supply and demand: A literature review. Transportation Research Part C-Emerging Technologies, 140, 17 pages. Retrieved from https://doi.org/10.1016/j.trc.2022.103702
      • Journal article
        Bagheri, F., Dagdougui, H. & Gendreau, M. (2022). Stochastic optimization and scenario generation for peak load shaving in Smart District microgrid: sizing and operation. Energy and Buildings, 275, 15 pages. Retrieved from https://doi.org/10.1016/j.enbuild.2022.112426
      • Journal article
        Taherkhani, G., Bilegan, I.C., Crainic, T.G., Gendreau, M. & Rei, W. (2022). Tactical capacity planning in an integrated multi-stakeholder freight transportation system. Omega-International Journal of Management Science, 110, 16 pages. Retrieved from https://doi.org/10.1016/j.omega.2022.102628
    • 2021
      • Journal article
        Mbeutcha, Y.A., Gendreau, M. & Emiel, G. (2021). A hybrid dynamic programming-Tabu Search approach for the long-term hydropower scheduling problem. Computational Management Science, 18(3), 385-410. Retrieved from https://doi.org/10.1007/s10287-021-00402-y
      • Journal article
        Mathlouthi, I., Gendreau, M. & Potvin, J.-Y. (2021). A metaheuristic based on tabu search for solving a technician routing and scheduling problem. Computers & Operations Research, 125, 8 pages. Retrieved from https://doi.org/10.1016/j.cor.2020.105079
      • Journal article
        Mbeutcha, Y., Gendreau, M. & Emiel, G. (2021). Benefit of PARMA Modeling for Long-Term Hydroelectric Scheduling Using Stochastic Dual Dynamic Programming. Journal of Water Resources Planning and Management, 147(3), 12 pages. Retrieved from https://doi.org/10.1061/(ASCE)WR.1943-5452.0001333
      • Journal article
        Gmira, M., Gendreau, M., Lodi, A. & Potvin, J.-Y. (2021). Managing in real-time a vehicle routing plan with time-dependent travel times on a road network. Transportation Research Part C: Emerging Technologies, 132, 15 pages. Retrieved from https://doi.org/10.1016/j.trc.2021.103379
      • Journal article
        Rimele, A., Gamache, M., Gendreau, M., Grangier, P. & Rousseau, L.-M. (2021). Robotic mobile fulfillment systems: a mathematical modelling framework for e-commerce applications. International Journal of Production Research, 17 pages. Retrieved from https://doi.org/10.1080/00207543.2021.1926570
      • Journal article
        Emde, S., Tahirov, N., Gendreau, M. & Glock, C.H. (2021). Routing automated lane-guided transport vehicles in a warehouse handling returns. European Journal of Operational Research, 292(3), 1085-1098. Retrieved from https://doi.org/10.1016/j.ejor.2020.11.038
      • Journal article
        Grangier, P., Gendreau, M., Lehuede, F. & Rousseau, L.-M. (2021). The vehicle routing problem with cross-docking and resource constraints. Journal of Heuristics, 27(1-2), 31-61. Retrieved from https://doi.org/10.1007/s10732-019-09423-y
      • Journal article
        Torres, F., Gendreau, M. & Rei, W. (2021). Vehicle Routing with Stochastic Supply of Crowd Vehicles and Time Windows. Transportation Science, 24 pages. Retrieved from https://doi.org/10.1287/trsc.2021.1101
    • 2020
      • Journal article
        Loza-Hernandez, L. & Gendreau, M. (2020). A framework for assessing hazmat risk at nodes of transport networks. International Journal of Disaster Risk Reduction, 50, 13 pages. Retrieved from https://doi.org/10.1016/j.ijdrr.2020.101854
      • Journal article
        Tammam, A.I., Anjos, M.F. & Gendreau, M. (2020). Balancing supply and demand in the presence of renewable generation via demand response for electric water heaters. Annals of Operations Research, 292(2), 753-770. Retrieved from https://doi.org/10.1007/s10479-020-03580-1
      • Journal article
        Jeihoonian, M., Kazemi Zanjani, M. & Gendreau, M. (2020). Dynamic reverse supply chain network design under uncertainty: mathematical modeling and solution algorithm. International Transactions in Operational Research, 29 pages. Retrieved from https://doi.org/10.1111/itor.12865
      • Journal article
        Emde, S., Polten, L. & Gendreau, M. (2020). Logic-based benders decomposition for scheduling a batching machine. Computers and Operations Research, 113, 12 pages. Retrieved from https://doi.org/10.1016/j.cor.2019.104777
      • Journal article
        Keutchayan, J., Munger, D. & Gendreau, M. (2020). On the scenario-tree optimal-value error for stochastic programming problems. Mathematics of Operations Research, 45(4), 1572-1595. Retrieved from https://doi.org/10.1287/MOOR.2019.1043
      • Journal article
        Fontaine, P., Crainic, T.G., Gendreau, M. & Minner, S. (2020). Population-based risk equilibration for the multimode hazmat transport network design problem. European Journal of Operational Research, 284(1), 188-200. Retrieved from https://doi.org/10.1016/j.ejor.2019.12.028
      • Journal article
        Malandra, F., Kizilkale, A.C., Sirois, F., Sanso, B., Anjos, M.F., Bernier, M., Gendreau, M. & Malhame, R.P. (2020). Smart Distributed Energy Storage Controller (smartDESC). Energy, 210, 10 pages. Retrieved from https://doi.org/10.1016/j.energy.2020.118500
      • Journal article
        Gmira, M., Gendreau, M., Lodi, A. & Potvin, J.-Y. (2020). Tabu search for the time-dependent vehicle routing problem with time windows on a road network. European Journal of Operational Research, 288(1), 129-140. Retrieved from https://doi.org/10.1016/j.ejor.2020.05.041
      • Journal article
        Rahmaniani, R., Ahmed, S., Crainic, T.G., Gendreau, M. & Rei, W. (2020). The Benders Dual Decomposition Method. Operations Research, 68(3), 878-895. Retrieved from https://doi.org/10.1287/opre.2019.1892
      • Journal article
        Moreno, A., Alem, D., Gendreau, M. & Munari, P. (2020). The heterogeneous multicrew scheduling and routing problem in road restoration. Transportation Research Part B: Methodological, 141, 24-58. Retrieved from https://doi.org/10.1016/j.trb.2020.09.002
      • Journal article
        Cote, J.-F., Gendreau, M. & Potvin, J.-Y. (2020). The Vehicle Routing Problem with Stochastic Two-Dimensional Items. Transportation Science, 54(2), 453-469. Retrieved from https://doi.org/10.1287/trsc.2019.0904
      • Journal article
        Gmira, M., Gendreau, M., Lodi, A. & Potvin, J.-Y. (2020). Travel speed prediction based on learning methods for home delivery. EURO Journal on Transportation and Logistics, 9(4), 16 pages. Retrieved from https://doi.org/10.1016/j.ejtl.2020.100006
    • 2019
      • Journal article
        Capelle, T., Cortés, C.E., Gendreau, M., Rey, P.A. & Rousseau, L.-M. (2019). A column generation approach for location-routing problems with pickup and delivery. European Journal of Operational Research, 272(1), 121-131. Retrieved from https://doi.org/10.1016/j.ejor.2018.05.055
      • Journal article
        Salavati-Khoshghalb, M., Gendreau, M., Jabali, O. & Rei, W. (2019). A hybrid recourse policy for the vehicle routing problem with stochastic demands. EURO Journal on Transportation and Logistics, 8(3), 269-298. Retrieved from https://doi.org/10.1007/s13676-018-0126-y
      • Journal article
        Hernandez, F., Gendreau, M., Jabali, O. & Rei, W. (2019). A local branching matheuristic for the multi-vehicle routing problem with stochastic demands. Journal of Heuristics, 25(2), 215-245. Retrieved from https://doi.org/10.1007/s10732-018-9392-y
      • Journal article
        Salavati-Khoshghalb, M., Gendreau, M., Jabali, O. & Rei, W. (2019). A Rule-Based Recourse for the Vehicle Routing Problem with Stochastic Demands. Transportation Science, 53(5), 1334-1353. Retrieved from https://doi.org/10.1287/trsc.2018.0876
      • Journal article
        Montagné, R., Gamache, M. & Gendreau, M. (2019). A shortest path-based algorithm for the inventory routing problem of waste vegetable oil collection. Journal of the Operational Research Society, 70(6), 986-997. Retrieved from https://doi.org/10.1080/01605682.2018.1476801
      • Journal article
        Arnold, F., Gendreau, M. & Sorensen, K. (2019). Efficiently solving very large-scale routing problems. Computers and Operations Research, 107, 32-42. Retrieved from https://doi.org/10.1016/j.cor.2019.03.006
      • Journal article
        Marchand, A., Gendreau, M., Blais, M. & Emiel, G. (2019). Efficient Tabu Search Procedure for Short-Term Planning of Large-Scale Hydropower Systems. Journal of Water Resources Planning and Management, 145(7), 10 pages. Retrieved from https://doi.org/10.1061/(asce)wr.1943-5452.0001064
      • Journal article
        Mahnam, M., Gendreau, M., Lahrichi, N. & Rousseau, L.-M. (2019). Integrating DVH criteria into a column generation algorithm for VMAT treatment planning. Physics in Medicine and Biology, 64(8), 14 pages. Retrieved from https://doi.org/10.1088/1361-6560/ab091c
      • Journal article
        Marchand, A., Gendreau, M., Blais, M. & Guidi, J. (2019). Optimized operating rules for short-term hydropower planning in a stochastic environment. Computational Management Science, 16(3), 501-519. Retrieved from https://doi.org/10.1007/s10287-019-00348-2
    • 2018
      • Journal article
        Taş, D., Gendreau, M., Jabali, O. & Jans, R. (2018). A capacitated lot sizing problem with stochastic setup times and overtime. European Journal of Operational Research, 273(1), 146-159. Retrieved from https://doi.org/10.1016/j.ejor.2018.07.032
      • Journal article
        Rahmaniani, R., Crainic, T.G., Gendreau, M. & Rei, W. (2018). Accelerating the benders decomposition method: application to stochastic network design problems. SIAM Journal on Optimization, 28(1), 875-903. Retrieved from https://doi.org/10.1137/17m1128204
      • Journal article
        Salavati-Khoshghalb, M., Gendreau, M., Jabali, O. & Rei, W. (2018). An exact algorithm to solve the vehicle routing problem with stochastic demands under an optimal restocking policy. European Journal of Operational Research, 273(1), 175-189. Retrieved from https://doi.org/10.1016/j.ejor.2018.07.039
      • Journal article
        Gauvin, C., Delage, E. & Gendreau, M. (2018). A stochastic program with time series and affine decision rules for the reservoir management problem. European Journal of Operational Research, 267(2), 716-732. Retrieved from https://doi.org/10.1016/j.ejor.2017.12.007
      • Journal article
        Gauvin, C., Delage, E. & Gendreau, M. (2018). A successive linear programming algorithm with non-linear time series for the reservoir management problem. Computational Management Science, 15(1), 55-86. Retrieved from https://doi.org/10.1007/s10287-017-0295-4
      • Journal article
        Nour, M., Gendreau, M. & Lakhssassi, A. (2018). Automatic laser interstitial thermal therapy for robot-assisted surgery. Global Journal of Advanced Engineering Technologies and Sciences, 5(3), 8-14. Retrieved from https://doi.org/10.5281/zenodo.1195103
      • Journal article
        Gendreau, M. (2018). Comments on: Disruption management in vehicle routing and scheduling for road freight transport: a review. TOP, 26(1), 18-20. Retrieved from https://doi.org/10.1007/s11750-018-0468-5
      • Journal article
        Marchand, A., Gendreau, M., Blais, M. & Emiel, G. (2018). Fast near-optimal heuristic for the short-term hydro-generation planning problem. IEEE Transactions on Power Systems, 33(1), 227-235. Retrieved from https://doi.org/10.1109/tpwrs.2017.2696438
      • Journal article
        Fakher, H.B., Nourelfath, M. & Gendreau, M. (2018). Integrating production, maintenance and quality: A multi-period multi-product profit-maximization model. Reliability Engineering & System Safety, 170, 191-201. Retrieved from https://doi.org/10.1016/j.ress.2017.10.024
      • Journal article
        Hojabri, H., Gendreau, M., Potvin, J.Y. & Rousseau, L.M. (2018). Large neighborhood search with constraint programming for a vehicle routing problem with synchronization constraints. Computers & Operations Research, 92, 87-97. Retrieved from https://doi.org/10.1016/j.cor.2017.11.011
      • Journal article
        Mathlouthi, I., Gendreau, M. & Potvin, J.-Y. (2018). Mixed integer linear programming for a multi-attribute technician routing and scheduling problem. INFOR, 56(1), 33-49. Retrieved from https://doi.org/10.1080/03155986.2017.1335047
      • Journal article
        Karimi, A., Gendreau, M. & Verter, V. (2018). Performance approximation of emergency service systems with priorities and partial backups. Transportation Science, 52(5), 1235-1252. Retrieved from https://doi.org/10.1287/trsc.2017.0810
      • Journal article
        Froger, A., Gendreau, M., Mendoza, J.E., Pinson, E. & Rousseau, L.-M. (2018). Solving a wind turbine maintenance scheduling problem. Journal of Scheduling, 21(1), 53-76. Retrieved from https://doi.org/10.1007/s10951-017-0513-5
      • Journal article
        Errico, F., Desaulniers, G., Gendreau, M., Rei, W. & Rousseau, L.-M. (2018). The vehicle routing problem with hard time windows and stochastic service times. EURO Journal on Transportation and Logistics, 7(3), 223-251. Retrieved from https://doi.org/10.1007/s13676-016-0101-4
    • 2017
      • Journal article
        Kergosien, Y., Gendreau, M. & Billaut, J.C. (2017). A Benders decomposition-based heuristic for a production and outbound distribution scheduling problem with strict delivery constraints. European Journal of Operational Research, 262(1), 287-298. Retrieved from https://doi.org/10.1016/j.ejor.2017.03.028
      • Journal article
        Froger, A., Gendreau, M., Mendoza, J.E., Pinson, E. & Rousseau, L.-M. (2017). A branch-and-check approach for a wind turbine maintenance scheduling problem. Computers & Operations Research, 88, 117-136. Retrieved from https://doi.org/10.1016/j.cor.2017.07.001
      • Journal article
        Fakher, H.B., Nourelfath, M. & Gendreau, M. (2017). A cost minimisation model for joint production and maintenance planning under quality constraints. International Journal of Production Research, 55(8), 2163-2176. Retrieved from https://doi.org/10.1080/00207543.2016.1201605
      • Journal article
        Ouenniche, J., Ramaswamy, P.K. & Gendreau, M. (2017). A dual local search framework for combinatorial optimization problems with TSP application. Journal of the Operational Research Society, 68(11), 1377-1398. Retrieved from https://doi.org/10.1057/s41274-016-0173-4
      • Journal article
        Grangier, P., Gendreau, M., Lehuede, F. & Rousseau, L.M. (2017). A matheuristic based on large neighborhood search for the vehicle routing problem with cross-docking. Computers & Operations Research, 84, 116-126. Retrieved from https://doi.org/10.1016/j.cor.2017.03.004
      • Journal article
        Jeihoonian, M., Zanjani, M.K. & Gendreau, M. (2017). Closed-loop supply chain network design under uncertain quality status: Case of durable products. International Journal of Production Economics, 183, 470-486. Retrieved from https://doi.org/10.1016/j.ijpe.2016.07.023
      • Journal article
        Gauvin, C., Delage, E. & Gendreau, M. (2017). Decision rule approximations for the risk averse reservoir management problem. European Journal of Operational Research, 261(1), 317-336. Retrieved from https://doi.org/10.1016/j.ejor.2017.01.044
      • Journal article
        Hernandez, F., Gendreau, M. & Potvin, J.-Y. (2017). Heuristics for tactical time slot management: A periodic vehicle routing problem view. International Transactions in Operational Research, 24(6), 1233-1252. Retrieved from https://doi.org/10.1111/itor.12403
      • Journal article
        Boushaba, M., Hafid, A. & Gendreau, M. (2017). Node stability-based routing in Wireless Mesh Networks. Journal of Network and Computer Applications, 93, 12 pages. Retrieved from https://doi.org/10.1016/j.jnca.2017.02.010
      • Journal article
        Keutchayan, J., Gendreau, M. & Saucier, A. (2017). Quality evaluation of scenario-tree generation methods for solving stochastic programming problems. Computational Management Science, 14(3), 333-365. Retrieved from https://doi.org/10.1007/s10287-017-0279-4
      • Journal article
        Amrouss, A., El Hachemi, N., Gendreau, M. & Gendron, B. (2017). Real-time management of transportation disruptions in forestry. Computers & Operations Research, 83, 95-105. Retrieved from https://doi.org/10.1016/j.cor.2017.02.008
      • Journal article
        Emde, S. & Gendreau, M. (2017). Scheduling in-house transport vehicles to feed parts to automotive assembly lines. European Journal of Operational Research, 260(1), 255-267. Retrieved from https://doi.org/10.1016/j.ejor.2016.12.012
      • Journal article
        Mahnam, M., Gendreau, M., Lahrichi, N. & Rousseau, L.M. (2017). Simultaneous delivery time and aperture shape optimization for the volumetric-modulated arc therapy (VMAT) treatment planning problem. Physics in Medicine and Biology, 62(14), 5589-5611. Retrieved from https://doi.org/10.1088/1361-6560/aa7447
      • Journal article
        Angelelli, E., Gendreau, M., Mansini, R. & Vindigni, M. (2017). The Traveling Purchaser Problem with time-dependent quantities. Computers & Operations Research, 82, 15-26. Retrieved from https://doi.org/10.1016/j.cor.2017.01.001
    • 2016
      • Journal article
        Jeihoonian, M., Kazemi Zanjani, M. & Gendreau, M. (2016). Accelerating Benders decomposition for closed-loop supply chain network design: Case of used durable products with different quality levels. European Journal of Operational Research, 251(3), 830-845. Retrieved from https://doi.org/10.1016/j.ejor.2015.12.052
      • Journal article
        Grangier, P., Gendreau, M., Lehuede, F. & Rousseau, L.M. (2016). An adaptive large neighborhood search for the two-echelon multiple-trip vehicle routing problem with satellite synchronization. European Journal of Operational Research, 254(1), 80-91. Retrieved from https://doi.org/10.1016/j.ejor.2016.03.040
      • Journal article
        Dayarian, I., Crainic, T.G., Gendreau, M. & Rei, W. (2016). An adaptive large-neighborhood search heuristic for a multi-period vehicle routing problem. Transportation Research Part E: Logistics and Transportation Review, 95, 95-123. Retrieved from https://doi.org/10.1016/j.tre.2016.09.004
      • Journal article
        Errico, F., Desaulniers, G., Gendreau, M., Rei, W. & Rousseau, L.M. (2016). A priori optimization with recourse for the vehicle routing problem with hard time windows and stochastic service times. European Journal of Operational Research, 249(1), 55-66. Retrieved from https://doi.org/10.1016/j.ejor.2015.07.027
      • Journal article
        Chen, L., Gendreau, M., Ha, M.H. & Langevin, A. (2016). A robust optimization approach for the road network daily maintenance routing problem with uncertain service time. Transportation Research Part E: Logistics and Transportation Review, 85, 40-51. Retrieved from https://doi.org/10.1016/j.tre.2015.11.006
      • Journal article
        Binart, S., Dejax, P., Gendreau, M. & Semet, F. (2016). A 2-stage method for a field service routing problem with stochastic travel and service times. Computers & Operations Research, 65, 64-75. Retrieved from https://doi.org/10.1016/j.cor.2015.07.001
      • Journal article
        Ibrahim, R., Kucukyazici, B., Verter, V., Gendreau, M. & Blostein, M. (2016). Designing personalized treatment: an application to anticoagulation therapy. Production and Operations Management, 25(5), 902-918. Retrieved from https://doi.org/10.1111/poms.12514
      • Journal article
        Meisel, F., Rei, W., Gendreau, M. & Bierwirth, C. (2016). Designing supply networks under maximum customer order lead times. IIE Transactions, 48(10), 921-937. Retrieved from https://doi.org/10.1080/0740817x.2015.1110267
      • Journal article
        Froger, A., Gendreau, M., Mendoza, J.E., Pinson, É. & Rousseau, L.-M. (2016). Maintenance scheduling in the electricity industry: A literature review. European Journal of Operational Research, 251(3), 695-706. Retrieved from https://doi.org/10.1016/j.ejor.2015.08.045
      • Journal article
        Gendreau, M., Jabali, O. & Rei, W. (2016). 50th Anniversary invited article future research directions in stochastic vehicle routing. Transportation Science, 50(4), 1163-1173. Retrieved from https://doi.org/10.1287/trsc.2016.0709
      • Journal article
        Rahmaniani, R., Crainic, T.G., Gendreau, M. & Rei, W. (2016). The Benders decomposition algorithm: A literature review. European Journal of Operational Research, 259(3), 801-817. Retrieved from https://doi.org/10.1016/j.ejor.2016.12.005
      • Journal article
        Gendreau, M., Manerba, D. & Mansini, R. (2016). The multi-vehicle traveling purchaser problem with pairwise incompatibility constraints and unitary demands: A branch-and-price approach. European Journal of Operational Research, 248(1), 59-71. Retrieved from https://doi.org/10.1016/j.ejor.2015.06.073
      • Journal article
        Tas, D., Gendreau, M., Jabali, O. & Laporte, G. (2016). The traveling salesman problem with time-dependent service times. European Journal of Operational Research, 248(2), 372-383. Retrieved from https://doi.org/10.1016/j.ejor.2015.07.048
    • 2015
      • Journal article
        Dayarian, I., Crainic, T.G., Gendreau, M. & Rei, W. (2015). A branch-and-price approach for a multi-period vehicle routing problem. Computers and Operations Research, 55, 167-184. Retrieved from https://doi.org/10.1016/j.cor.2014.06.004
      • Journal article
        Dayarian, I., Crainic, T.G., Gendreau, M. & Rei, W. (2015). A column generation approach for a multi-attribute vehicle routing problem. European Journal of Operational Research, 241(3), 888-906. Retrieved from https://doi.org/10.1016/j.ejor.2014.09.015
      • Journal article
        Kergosien, Y., Belanger, V., Soriano, P., Gendreau, M. & Ruiz, A. (2015). A generic and flexible simulation-based analysis tool for EMS management. International Journal of Production Research, 53(24), 7299-7316. Retrieved from https://doi.org/10.1080/00207543.2015.1037405
      • Journal article
        Lahrichi, N., Crainic, T.G., Gendreau, M., Rei, W., Crişan, G.C. & Vidal, T. (2015). An integrative cooperative search framework for multi-decision-attribute combinatorial optimization: Application to the MDPVRP. European Journal of Operational Research, 246(2), 400-412. Retrieved from https://doi.org/10.1016/j.ejor.2015.05.007
      • Journal article
        Lannez, S., Artigues, C., Damay, J. & Gendreau, M. (2015). A railroad maintenance problem solved with a cut and column generation matheuristic. Networks, 66(1), 40-56. Retrieved from https://doi.org/10.1002/net.21605
      • Journal article
        Rath, S., Gendreau, M. & Gutjahr, W.J. (2015). Bi-objective stochastic programming models for determining depot locations in disaster relief operations. International Transactions in Operational Research, 23(6), 997-1023. Retrieved from https://doi.org/10.1111/itor.12163
      • Journal article
        Pereira, D.L., Gendreau, M. & da Cunha, A.S. (2015). Branch-and-cut and Branch-and-cut-and-price algorithms for the adjacent only quadratic minimum spanning tree problem. Networks, 65(4), 367-379. Retrieved from https://doi.org/10.1002/net.21580
      • Journal article
        Rahimi-Vahed, A., Gabriel Crainic, T., Gendreau, M. & Rei, W. (2015). Fleet-sizing for multi-depot and periodic vehicle routing problems using a modular heuristic algorithm. Computers and Operations Research, 53, 9-23. Retrieved from https://doi.org/10.1016/j.cor.2014.07.004
      • Journal article
        El Hachemi, N., El Hallaoui, I., Gendreau, M. & Rousseau, L.-M. (2015). Flow-based integer linear programs to solve the weekly log-truck scheduling problem. Annals of Operations Research, 232(1), 87-97. Retrieved from https://doi.org/10.1007/s10479-014-1527-4
      • Journal article
        Bach, L., Gendreau, M. & Wohlk, S. (2015). Freight railway operator timetabling and engine scheduling. European Journal of Operational Research, 241(2), 309-319. Retrieved from https://doi.org/10.1016/j.ejor.2014.08.036
      • Journal article
        Pereira, D.L., Gendreau, M. & Da Cunha, A.S. (2015). Lower bounds and exact algorithms for the quadratic minimum spanning tree problem. Computers & Operations Research, 63, 149-160. Retrieved from https://doi.org/10.1016/j.cor.2015.04.020
      • Journal article
        Carpentier, P.-L., Gendreau, M. & Bastin, F. (2015). Managing hydroelectric reservoirs over an extended horizon using benders decomposition with a memory loss assumption. IEEE Transactions on Power Systems, 30(2), 563-572. Retrieved from https://doi.org/10.1109/TPWRS.2014.2332402
      • Journal article
        Amrouss, A., Gendreau, M. & Gendron, B. (2015). Managing unforeseen events in forest transportation. J-for-Journal of Science & Technology for Forest Products and Processes, 5(5), 40-50.
      • Journal article
        Gendreau, M., Nossack, J. & Pesch, E. (2015). Mathematical formulations for a 1-full-truckload pickup-and-delivery problem. European Journal of Operational Research, 242(3), 1008-1016. Retrieved from https://doi.org/10.1016/j.ejor.2014.10.053
      • Journal article
        Crainic, T.G., Gajpal, Y. & Gendreau, M. (2015). Multi-zone multi-trip vehicle routing problem with time windows. INFOR, 53(2), 49-67. Retrieved from https://doi.org/10.3138/infor.53.2.49
      • Journal article
        Lahrichi, N., Crainic, T.G., Gendreau, M., Rei, W. & Rousseau, L.-M. (2015). Strategic analysis of the dairy transportation problem. Journal of the Operational Research Society, 66(1), 44-56. Retrieved from https://doi.org/10.1057/jors.2013.147
      • Journal article
        Gendreau, M., Ghiani, G. & Guerriero, E. (2015). Time-dependent routing problems: A review. Computers and Operations Research, 64, 189-197. Retrieved from https://doi.org/10.1016/j.cor.2015.06.001
      • Journal article
        Vidal, T., Crainic, T.G., Gendreau, M. & Prins, C. (2015). Time-window relaxations in vehicle routing heuristics. Journal of Heuristics, 21(3), 329-358. Retrieved from https://doi.org/10.1007/s10732-014-9273-y
      • Journal article
        Vidal, T., Crainic, T.G., Gendreau, M. & Prins, C. (2015). Timing problems and algorithms: Time decisions for sequences of activities. Networks, 65(2), 102-128. Retrieved from https://doi.org/10.1002/net.21587
    • 2014
      • Journal article
        Gauvin, C., Desaulniers, G. & Gendreau, M. (2014). A branch-cut-and-price algorithm for the vehicle routing problem with stochastic demands. Computers and Operations Research, 50, 141-153. Retrieved from https://doi.org/10.1016/j.cor.2014.03.028
      • Journal article
        Azi, N., Gendreau, M. & Potvin, J.-Y. (2014). An adaptive large neighborhood search for a vehicle routing problem with multiple routes. Computers and Operations Research, 41(1), 167-173. Retrieved from https://doi.org/10.1016/j.cor.2013.08.016
      • Journal article
        Cote, J.-F., Gendreau, M. & Potvin, J.-Y. (2014). An exact algorithm for the two-dimensional orthogonal packing problem with unloading constraints. Operations Research, 62(5), 1126-1141. Retrieved from https://doi.org/10.1287/opre.2014.1307
      • Journal article
        Vidal, T., Crainic, T.G., Gendreau, M. & Prins, C. (2014). A unified solution framework for multi-attribute vehicle routing problems. European Journal of Operational Research, 234(3), 658-673. Retrieved from https://doi.org/10.1016/j.ejor.2013.09.045
      • Journal article
        Souza, F.S.H., Gendreau, M. & Mateus, G.R. (2014). Branch-and-Price Algorithm for the Resilient Multi-Level Hop-Constrained Network Design. European Journal of Operational Research, 233(1), 84-93. Retrieved from https://doi.org/10.1016/j.ejor.2013.08.024
      • Journal article
        Cortes, C.E., Gendreau, M., Rousseau, L.M., Souyris, S. & Weintraub, A. (2014). Branch-and-price and constraint programming for solving a real-life technician dispatching problem. European Journal of Operational Research, 238(1), 300-312. Retrieved from https://doi.org/10.1016/j.ejor.2014.03.006
      • Journal article
        Vidal, T., Crainic, T.G., Gendreau, M. & Prins, C. (2014). Implicit depot assignments and rotations in vehicle routing heuristics. European Journal of Operational Research, 237(1), 15-28. Retrieved from https://doi.org/10.1016/j.ejor.2013.12.044
      • Journal article
        Nunez, A., Cortes, C.E., Saez, D., De Schutter, B. & Gendreau, M. (2014). Multiobjective model predictive control for dynamic pickup and delivery problems. Control Engineering Practice, 32, 73-86. Retrieved from https://doi.org/10.1016/j.conengprac.2014.07.004
      • Journal article
        Chen, L., Minh Hoang, H., Langevin, A. & Gendreau, M. (2014). Optimizing road network daily maintenance operations with stochastic service and travel times. Transportation Research Part E-Logistics and Transportation Review, 64, 88-102. Retrieved from https://doi.org/10.1016/j.tre.2014.02.002
      • Journal article
        Jabali, O., Rei, W., Gendreau, M. & Laporte, G. (2014). Partial-route inequalities for the multi-vehicle routing problem with stochastic demands. Discrete Applied Mathematics, 177, 121-136. Retrieved from https://doi.org/10.1016/j.dam.2014.05.040
      • Journal article
        Zhu, E., Crainic, T.G. & Gendreau, M. (2014). Scheduled Service Network Design for Freight Rail Transportation. Operations Research, 62(2), 383-400. Retrieved from https://doi.org/10.1287/opre.2013.1254
      • Journal article
        Nahas, N., Nourelfath, M. & Gendreau, M. (2014). Selecting machines and buffers in unreliable assembly/disassembly manufacturing networks. International Journal of Production Economics, 154, 113-126. Retrieved from https://doi.org/10.1016/j.ijpe.2014.04.011
      • Journal article
        Tas, D., Gendreau, M., Dellaert, N., Van Woensel, T. & De Kok, A.G. (2014). Vehicle routing with soft time windows and stochastic travel times: A column generation and branch-and-price solution approach. European Journal of Operational Research, 236(3), 789-799. Retrieved from https://doi.org/10.1016/j.ejor.2013.05.024
    • 2013
      • Journal article
        El Hachemi, N., Gendreau, M. & Rousseau, L.-M. (2013). A heuristic to solve the synchronized log-truck scheduling problem. Computers & Operations Research, 40(3), 666-673. Retrieved from https://doi.org/10.1016/j.cor.2011.02.002
      • Journal article
        Vidal, T., Crainic, T.G., Gendreau, M. & Prins, C. (2013). A hybrid genetic algorithm with adaptive diversity management for a large class of vehicle routing problems with time-windows. Computers & Operations Research, 40(1), 475-489. Retrieved from https://doi.org/10.1016/j.cor.2012.07.018
      • Journal article
        Barkaoui, M. & Gendreau, M. (2013). An adaptive evolutionary approach for real-time vehicle routing and dispatching. Computers & Operations Research, 40(7), 1766-1776. Retrieved from https://doi.org/10.1016/j.cor.2013.01.022
      • Journal article
        Rahimi-Vahed, A., Crainic, T.G., Gendreau, M. & Rei, W. (2013). A path relinking algorithm for a multi-depot periodic vehicle routing problem. Journal of Heuristics, 19(3), 497-524. Retrieved from https://doi.org/10.1007/s10732-013-9221-2
      • Journal article
        Ferrucci, F., Bock, S. & Gendreau, M. (2013). A pro-active real-time control approach for dynamic vehicle routing problems dealing with the delivery of urgent goods. European Journal of Operational Research, 225(1), 130-141. Retrieved from https://doi.org/10.1016/j.ejor.2012.09.016
      • Journal article
        Pillac, V., Gendreau, M., Gueret, C. & Medaglia, A.L. (2013). A review of dynamic vehicle routing problems. European Journal of Operational Research, 225(1), 1-11. Retrieved from https://doi.org/10.1016/j.ejor.2012.08.015
      • Journal article
        Vidal, T., Crainic, T.G., Gendreau, M. & Prins, C. (2013). Heuristics for multi-attribute vehicle routing problems: A survey and synthesis. European Journal of Operational Research, 231(1), 1-21. Retrieved from https://doi.org/10.1016/j.ejor.2013.02.053
      • Journal article
        Burke, E.K., Gendreau, M., Hyde, M., Kendall, G., Ochoa, G., Özcan, E. & Qu, R. (2013). Hyper-heuristics : a survey of the state of the art. Journal of the Operational Research Society, 64, 1695-1724. Retrieved from https://doi.org/10.1057/jors.2013.71
      • Journal article
        Carpentier, P.-L., Gendreau, M. & Bastin, F. (2013). Long-term management of a hydroelectric multireservoir system under uncertainty using the progressive hedging algorithm. Water Resources Research, 49(5), 2812-2827. Retrieved from https://doi.org/10.1002/wrcr.20254
      • Journal article
        Verma, M., Gendreau, M. & Laporte, G. (2013). Optimal location and capability of oil-spill response facilities for the south coast of Newfoundland. Omega, 41(5), 856-67. Retrieved from https://doi.org/10.1016/j.omega.2012.10.007
      • Journal article
        Boushaba, M., Hafid, A., Belbekkouche, A. & Gendreau, M. (2013). Reinforcement learning based routing in wireless mesh networks. Wireless Networks, 19(8), 2079-2091. Retrieved from https://doi.org/10.1007/s11276-013-0592-y
      • Journal article
        Pereira, D.L., Gendreau, M. & Salles Da Cunha, A. (2013). Stronger lower bounds for the quadratic minimum spanning tree problem with adjacency costs. Electronic Notes in Discrete Mathematics, 41(5), 229-236. Retrieved from https://doi.org/10.1016/j.endm.2013.05.097
      • Journal article
        Rousseau, L.-M., Gendreau, M. & Pesant, G. (2013). The synchronized vehicle dispatching problem. INFOR, 51(2), 76-83. Retrieved from https://doi.org/10.3138/infor.51.2.76
    • 2012
      • Journal article
        Cote, J.-F., Archetti, C., Speranza, M.G., Gendreau, M. & Potvin, J.-Y. (2012). A branch-and-cut algorithm for the pickup and delivery traveling salesman problem with multiple stacks. Networks, 60(4), 212-226. Retrieved from https://doi.org/10.1002/net.21459
      • Journal article
        Jabali, O., Gendreau, M. & Laporte, G. (2012). A continuous approximation model for the fleet composition problem. Transportation Research Part B: Methodological, 46(10), 1591-1606. Retrieved from https://doi.org/10.1016/j.trb.2012.06.004
      • Journal article
        Azi, N., Gendreau, M. & Potvin, J.Y. (2012). A Dynamic Vehicle Routing Problem With Multiple Delivery Routes. Annals of Operations Research, 199(1), 103-112. Retrieved from https://doi.org/10.1007/s10479-011-0991-3
      • Journal article
        Vidal, T., Crainic, T.G., Gendreau, M., Lahrichi, N. & Rei, W. (2012). A hybrid genetic algorithm for multidepot and periodic vehicle routing problems. Operations Research, 60(3), 611-624. Retrieved from https://doi.org/10.1287/opre.1120.1048
      • Journal article
        Cote, J.-F., Gendreau, M. & Potvin, J.-Y. (2012). Large Neighborhood Search for the Pickup and Delivery Traveling Salesman Problem With Multiple Stacks. Networks, 60(1), 19-30. Retrieved from https://doi.org/10.1002/net.20448
      • Journal article
        Joliveau, M. & Gendreau, M. (2012). Using Bilevel Feature Extractors to Reduce Dimensionality in Images. Computing in Science & Engineering, 14(3), 60-67. Retrieved from https://doi.org/10.1109/MCSE.2011.55
    • 2011
      • Journal article
        Tagmouti, M., Gendreau, M. & Potvin, J.-Y. (2011). A dynamic capacitated arc routing problem with time-dependent service costs. Transportation Research Part C: Emerging Technologies, 19(1), 20-28. Retrieved from https://doi.org/10.1016/j.trc.2010.02.003
      • Journal article
        El Hachemi, N., Gendreau, M. & Rousseau, L.-M. (2011). A hybrid constraint programming approach to the log-truck scheduling problem. Annals of Operations Research, 184(1), 163-178. Retrieved from https://doi.org/10.1007/s10479-010-0698-x
      • Journal article
        Cortes, C.E., Gendreau, M., Leng, D. & Weintraub, A. (2011). A simulation-based approach for fleet design in a technician dispatch problem with stochastic demand. Journal of the Operational Research Society, 62(8), 1510-1523. Retrieved from https://doi.org/10.1057/jors.2010.98
      • Journal article
        Verma, M., Verter, V. & Gendreau, M. (2011). A tactical planning model for railroad transportation of dangerous goods. Transportation Science, 45(2), 163-174. Retrieved from https://doi.org/10.1287/trsc.1100.0339
      • Journal article
        Crainic, T.G., Fu, X., Gendreau, M., Rei, W. & Wallace, S.W. (2011). Progressive hedging-based metaheuristics for stochastic network design. Networks, 58(2), 34-44. Retrieved from https://doi.org/10.1002/net.20456
    • 2010
      • Journal article
        Rei, W., Gendreau, M. & Soriano, P. (2010). A hybrid Monte Carlo local branching algorithm for the single vehicle routing problem with stochastic demands. Transportation Science, 44(1), 136-146. Retrieved from https://doi.org/10.1287/trsc.1090.0295
      • Journal article
        Feillet, D., Gendreau, M., Medaglia, A.L. & Walteros, J.L. (2010). A Note on Branch-and-Cut-and-Price. Operations Research Letters, 38(5), 346-353. Retrieved from https://doi.org/10.1016/j.orl.2010.06.002
      • Journal article
        Tagmouti, M., Gendreau, M. & Potvin, J.Y. (2010). A Variable Neighborhood Descent Heuristic for Arc Routing Problems With Time-Dependent Service Costs. Computers & Industrial Engineering, 59(4), 954-963. Retrieved from https://doi.org/10.1016/j.cie.2010.09.006
      • Journal article
        Rezgui, J., Hafid, A. & Gendreau, M. (2010). Distributed admission control in wireless mesh networks: Models, algorithms, and evaluation. IEEE Transactions on Vehicular Technology, 59(3), 1459-1473. Retrieved from https://doi.org/10.1109/TVT.2009.2039360
  • Conference papers (32)
    • 2021
      • Conference paper
        Rocha, M., Anjos, M.F. & Gendreau, M. (2021). Optimal Planning of Preventive Maintenance Tasks on Electric Power Transmission Systems. Paper presented at the 31st European Safety and Reliability Conference (ESREL 2021), Angers, France (1 page). Retrieved from https://doi.org/10.3850/978-981-18-2016-8_721-cd
    • 2020
      • Conference paper
        Gribel, D., Vidal, T. & Gendreau, M. (2020). Assortative-constrained stochastic block models. Paper presented at the 25th International Conference on Pattern Recognition (ICPR 2020), Milan, Italy (pp. 6212-6216). Retrieved from https://doi.org/10.1109/ICPR48806.2021.9413275
      • Conference paper
        Farnad, G., Babaki, B. & Gendreau, M. (2020). A Unifying Framework for Fairness-Aware Influence Maximization. Paper presented at the 29th International World Wide Web Conference (WWW 2020), Taipei, Taiwan (pp. 714-722). Retrieved from https://doi.org/10.1145/3366424.3383555
    • 2017
      • Conference paper
        Salavati-Khoshghalb, M., Gendreau, M., Jabali, O. & Rei, W. (2017). An exact algorithm to solve the vehicle routing problem with stochastic demands under an optimal restocking policy. Paper presented at the International Workshop on Vehicle Routing, Intermodal Transportation and Related Areas, Snekkersten, Denmark. (pp. 19-21).
      • Conference paper
        Minic, S.M., Gendreau, M., Potvin, J.Y., Berger, J., Boukhtouta, A. & Thomson, D. (2017). Military three-echelon disaster relief supply chain management. Paper presented at the 4th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM 2017), Münster, Germany (8 pages). Retrieved from https://doi.org/10.1109/ICT-DM.2017.8275674
      • Conference paper
        Gmira, M., Gendreau, M., Lodi, A. & Potvin, J.-Y. (2017). Travel speed prediction using machine learning techniques. Paper presented at the ITS World Congress, Montréal, Québec (10 pages).
    • 2016
      • Conference paper
        Tammam, A.I., Watters, C.S., Anjos, M.F. & Gendreau, M. (2016). A methodology for ensemble wind power scenarios generation from numerical weather predictions. Paper presented at the Power and Energy Society General Meeting (PESGM 2016), Boston, MA (5 pages). Retrieved from https://doi.org/10.1109/PESGM.2016.7741767
      • Conference paper
        Jeihoonian, M., Kazemi Zanjani, M. & Gendreau, M. (2016). A stochastic programming approach for closed-loop supply chain network design under uncertain quality status. Paper presented at the 6th International Conference on Information Systems, Logistics and Supply Chain (ILS 2016), Bordeaux, France (10 pages). Retrieved from http://ils2016conference.com/wp-content/uploads/2015/03/ILS2016_TD03_3.pdf
      • Conference paper
        Marchand, A., Gendreau, M., Blais, M. & Emiel, G. (2016). Fast near-optimal heuristic for the short-term hydro-generation planning problem. Paper presented at the Journées de l'optimisation 2016, Montréal, Québec (7 pages).
      • Conference paper
        Beheshti-Fakher, H., Nourelfath, M. & Gendreau, M. (2016). Joint planning of production and maintenance in a single machine deteriorating system. Paper presented at the 8th IFAC Conference on Manufacturing Modelling, Management and Control (MIM 2016), Troyes, France. (Published in IFAC-PapersOnLine, 49(12), 745-750). Retrieved from https://doi.org/10.1016/j.ifacol.2016.07.863
    • 2015
      • Conference paper
        Beheshti Fakher, H., Nourelfath, M. & Gendreau, M. (2015). Hybrid genetic algorithm to solve a joint production maintenance model. Paper presented at the 15th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2015), Ottawa, Canada. (Published in IFAC-PapersOnLine, 48(3), 747-754). Retrieved from https://doi.org/10.1016/j.ifacol.2015.06.172
      • Conference paper
        Fakher, H.B., Nourelfath, M. & Gendreau, M. (2015). Joint production-maintenance planning in an imperfect system with quality degradation. Paper presented at the International Conference on Industrial Engineering and Systems Management (IESM 2015), Seville, Spain (pp. 910-919). Retrieved from https://doi.org/10.1109/IESM.2015.7380264
    • 2014
      • Conference paper
        Jeihoonian, M., Zanjani, M.K., Rahbari, M. & Gendreau, M. (2014). Closed-loop supply chain network design: A case of durable products with different quality status. Paper presented at the IIE Annual Conference and Expo 2014, Montréal, Québec (pp. 3201-3210).
      • Conference paper
        Kergosien, Y., Gendreau, M., Ruiz, A. & Soriano, P. (2014). Managing a Fleet of Ambulances to Respond to Emergency and Transfer Patient Transportation Demands. Paper presented at the International Conference on Health Care Systems Engineering (HCSE 2013), Milan, Italy (pp. 303-315). Retrieved from https://doi.org/10.1007/978-3-319-01848-5_24
      • Conference paper
        Grinberg, Y., Precup, D. & Gendreau, M. (2014). Optimizing energy production using policy search and predictive state representations. Paper presented at the 28th Annual Conference on Neural Information Processing Systems 2014 (NIPS 2014), Montréal, Québec (pp. 2969-2977).
    • 2013
      • Conference paper
        Capelle, T., Cortés, C.E., Gendreau, M., Rey, P.A. & Rousseau, L.-M. (2013). Enfoque de generación de columnas para el problema de localización y ruteo con pickup and delivery. Paper presented at the 16o Congreso Chileno de Ingenieria de Transporte, Santiago, Chili (pp. 13). Retrieved from https://congresotransporte.uchile.cl/index.php/CIT/article/view/28420
      • Conference paper
        Boushaba, M., Hafid, A. & Gendreau, M. (2013). Local Node Stability-Based Routing for Wireless Mesh Networks. Paper presented at the 2013 IEEE Wireless Communications and Networking Conference (WCNC), Shanghai, China (pp. 1950-1955). Retrieved from https://doi.org/10.1109/WCNC.2013.6554863
    • 2012
      • Conference paper
        Rojas, J., Cortes, C., Gendreau, M., Rousseau, L.-M. & Weintraub, A. (2012). Dynamic column generation approach for space covering and time-space covering traveling technician problem. Paper presented at the 5th International Workshop on Freight Transportation and Logistics, Mikonos, Grèce.
      • Conference paper
        Capelle, T., Cortes, C., Gendreau, M., Rousseau, L.-M. & Rei, P. (2012). Location-routing problems with pickup and delivery and time windows constraints. Paper presented at the 5th International Workshop on Freight Transportation and Logistics, Mikonos, Grèce.
    • 2011
      • Conference paper
        Joliveau, M., Giard, P., Gendreau, M., Gagnon, F. & Thibeault, C. (2011). Design of low complexity multiplierless digital filters with optimized free structure using a population-based metaheuristic. Paper presented at the International Symposium on Signals, Circuits and Systems, ISSCS 2011, Iasi, Romania (pp. 249-252). Retrieved from https://doi.org/10.1109/ISSCS.2011.5978706
      • Conference paper
        Joliveau, M., Gendreau, M., Gagnon, F. & Thibeault, C. (2011). Low complexity low power non-recursive digital filters with unconstrained topology. Paper presented at the 20th European Conference on Circuit Theory and Design, ECCTD 2011, Linkoping, Sweden (pp. 865-868). Retrieved from https://doi.org/10.1109/ECCTD.2011.6043821
    • 2010
    • 2009
      • Conference paper
        Crainic, T.G., Crisan, G.C., Gendreau, M., Lahrichi, N., Rei, W. & Vidal, T. (2009). A concurrent evolutionary approach for rich combinatorial problems. Paper presented at the Genetic and Evolutionary Computation Conference (GECC 2009), Montréal, Québec. Retrieved from https://doi.org/10.1145/1570256.1570269
      • Conference paper
        Gendreau, M., El Hachemi, N. & Rousseau, L.-M. (2009). A hybrid LS/CP approach to solve the weekly log-truck scheduling problem. Paper presented at the 8th Metaheuristic International Conference (MIC 2009), Hamburg, Germany (10 pages).
      • Conference paper
        Crainic, T.G., Crisan, G.C., Gendreau, M., Lahrichi, N., Rei, W. & Vidal, T. (2009). Integrative cooperative meta-heuristics for rich combinatorial problems. Paper presented at the VIII Metaheuristic International Conference (MIC 2009), Hambourg, Allemagne.
      • Conference paper
        Crainic, T.G., Crisan, G.C., Gendreau, M., Lahrichi, N., Rei, W. & Vidal, T. (2009). Multi-thread cooperative optimization for rich combinatorial problems. Paper presented at the 23rd IEEE international Parallel & Distributed Processing Symposium (IPDPS 2009), Rome, Italy (8 pages). Retrieved from https://doi.org/10.1109/IPDPS.2009.5161124
    • 2008
      • Conference paper
        El Hachemi, N., Gendreau, M. & Rousseau, L.-M. (2008). Solving a log-truck scheduling problem with constraint programming. Paper presented at the 5th International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR 2008), Paris, France (pp. 293-297). Retrieved from https://doi.org/10.1007/978-3-540-68155-7_25
    • 2006
      • Conference paper
        Artigues, C., Gendreau, M. & Rousseau, L.-M. (2006). A flexible model and a hybrid exact method for integrated employee timetabling and production scheduling. Paper presented at the 6th International conference Practice and theory of automated timetabling (PATAT 2006), Brno, Czech Republic (pp. 67-84). Retrieved from https://doi.org/10.1007/978-3-540-77345-0_5
      • Conference paper
        Ouldebe, M., Gendreau, M. & Rousseau, L.-M. (2006). Survivable multicast network. Paper presented at the Network Optimization Workshop (NOW 2006), Saint-Rémy de Provence, France.
    • 1996
      • Conference paper
        Pesant, G. & Gendreau, M. (1996). View of local search in constraint programming. Paper presented at the 2nd International Conference on Principles and Practice of Constraint Programming (CP 1996), Cambridge, US (pp. 353-366). Retrieved from https://doi.org/10.1007/3-540-61551-2_86
  • Books (2)
  • Book chapters (3)
  • Reports (39)
    • 2022
      • Report
        Torres, F., Gendreau, M. & Rei, W. (2022). Crowd-shipping : determining the compensation of crowd-drivers with stochastic route acceptance (Report No CIRRELT-2022-03). Centre interuniversitaire de recherche sur les reseaux d'entreprise, la logistique et le transport (CIRRELT). Retrieved from https://www.cirrelt.ca/documentstravail/cirrelt-2022-03.pdf
    • 2021
      • Report
        Zhang, X., Chen, L., Gendreau, M. & Langevin, A. (2021). A branch-and-price-and-cut algorithm for the vehicle routing problem with two-dimensional loading constrains (Report No CIRRELT-2021-27). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport (CIRRELT). Retrieved from https://www.cirrelt.ca/documentstravail/cirrelt-2021-27.pdf
      • Report
        Torres, F., Gendreau, M. & Rei, W. (2021). Crowdshipping : an open VRP variant with stochastic destinations. Centre interuniversitaire de recherche sur les reseaux d'entreprise, la logistique et le transport (CIRRELT). Retrieved from https://www.cirrelt.ca/documentstravail/cirrelt-2021-46.pdf
      • Report
        Rimelé, A., Grangier, P., Gamache, M., Gendreau, M. & Rousseau, L.-M. (2021). E-commerce warehousing : learning a storage policy (Report No CIRRELT-2021-03). Centre interuniversitaire de recherche sur les reseaux d'entreprise, la logistique et le transport (CIRRELT). Retrieved from https://www.cirrelt.ca/documentstravail/cirrelt-2021-03.pdf
    • 2020
      • Report
        Rimelé, A., Gamache, M., Gendreau, M., Grangier, P. & Rousseau, L.-M. (2020). Robotic mobile fulfillment systems : a mathematical modelling framework for e-commerce applications (Report No CIRRELT 2020-42). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport (CIRRELT).
      • Report
        Torres, F., Gendreau, M. & Rei, W. (2020). Vehicle routing with stochastic supply of crowd vehicles and time windows (Report No CIRRELT-2020-05). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport (CIRRELT).
    • 2019
      • Report
        Rahmaniani, R., Crainic, T.G., Gendreau, M. & Rel, W. (2019). An asynchronous parallel benders decomposition method (Report No CIRRELT-2019-49). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport (CIRRELT). Retrieved from https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2019-49.pdf
      • Report
        Gmira, M., Gendreau, M., Lodi, A. & Potvin, J.-Y. (2019). Managing in real-time a vehicle routing plan with time-dependent travel times on a road network (Report No CIRRELT-2019-45). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport (CIRRELT). Retrieved from https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2019-45.pdf
      • Report
        Gmira, M., Gendreau, M., Lodi, A. & Potvin, J.-Y. (2019). Tabu search for the time-dependent vehicle routing problem with time windows on a road network (Report No CIRRELT-2019-32). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport. Retrieved from https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2019-32.pdf
    • 2018
      • Report
        Emde, S., Polten, L. & Gendreau, M. (2018). Logic-based benders decomposition for scheduling a batching machine (Report No CIRRELT-2018-40). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport. Retrieved from https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2018-40.pdf
      • Report
        Rahmaniani, R., Crainic, T.G., Gendreau, M. & Rei, W. (2018). The asynchronous benders decomposition method (Report No CIRRELT-2018-07). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport (CIRRELT).
      • Report
        Rahmaniani, R., Ahmed, S., Crainic, T.G., Gendreau, M. & Rei, W. (2018). The benders dual decomposition method (Report No CIRRELT-2018-03). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport (CIRRELT). Retrieved from http://www.cirrelt.ca/DocumentsTravail/CIRRELT-2018-03.pdf
      • Report
        Gmira, M., Gendreau, M., Lodi, A. & Potvin, J.-Y. (2018). Travel speed prediction based on learning methods for home delivery (Report No DS4DM-2018-012). Canada Excellence Research Chair - Data Science for Real-Time Decision-Making.
    • 2017
      • Report
        Rahmaniani, R., Crainic, T.G., Gendreau, M. & Rei, W. (2017). A benders decomposition method for two-stage stochastic network design problems. Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport. Retrieved from https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2017-22.pdf
      • Report
        Salavati-Khoshghalb, M., Gendreau, M., Jabali, O. & Rei, W. (2017). A hybrid recourse policy for the vehicle routing problem wotj stochastic demands (Report No CIRRELT-2017-42). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport. Retrieved from https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2017-42.pdf
      • Report
        Keutchayan, J., Munger, D., Gendreau, M. & Bastin, F. (2017). A new scenario-tree generation approach for multistage stochastic programming problems based on a demerit criterion (Report No CIRRELT-2017-74). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport (CIRRELT). Retrieved from http://www.cirrelt.ca/DocumentsTravail/CIRRELT-2017-74.pdf
      • Report
        Salavati-Khoshghalb, M., Gendreau, M., Jabali, O. & Rei, W. (2017). An exact algorithm to solve the vehicle routing problem with stochastic demands under an optimal restocking policy (Report No CIRRELT-2017-61). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport. Retrieved from http://www.cirrelt.ca/DocumentsTravail/CIRRELT-2017-61.pdf
      • Report
        Salavati-Khoshghalb, M., Gendreau, M., Jabali, O. & Rei, W. (2017). A rule-based recourse for the vehicle routing problem with stochastic demands (Report No CIRRELT-2017-36). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport. Retrieved from https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2017-36.pdf
      • Report
        Mathlouthi, I., Gendreau, M. & Potvin, J.-Y. (2017). Branch-and-price for a multi-attribute technician routing and scheduling problem (Report No CIRRELT-2017-56). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport. Retrieved from https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2017-56.pdf
      • Report
        Arnold, F., Gendreau, M. & Sörensen, K. (2017). Efficiently solving very large scale routing problems (Report No CIRRELT-2017-75). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport (CIRRELT). Retrieved from http://www.cirrelt.ca/DocumentsTravail/CIRRELT-2017-75.pdf
      • Report
        Fakher, H.B., Nourelfath, M. & Gendreau, M. (2017). Integrating production, maintenance and quality : a multi-period multi-product profit-maximization model (Report No CIRRELT-2017-59). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport. Retrieved from http://www.cirrelt.ca/DocumentsTravail/CIRRELT-2017-59.pdf
      • Report
        Keutchayan, J., Munger, D. & Gendreau, M. (2017). On the Scenario-Tree Optimal-Value Error for Stochastic Programming Problems (Report No CIRRELT-2016-05). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport. Retrieved from https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2017-05.pdf
      • Report
        Karimi, A., Gendreau, M. & Verter, V. (2017). Performance approximation of emergency service systems with priorities and partial backups (Report No CIRRELT-2017-49). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport. Retrieved from https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2017-49.pdf
      • Report
        Keutchayan, J., Gendreau, M. & Saucier, A. (2017). Quality evaluation of scenario-tree generation methods for solving stochastic programming problem (Report No CIRRELT-2017-17). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport. Retrieved from https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2017-17.pdf
      • Report
        Mahnam, M., Gendreau, M., Lahrichi, N. & Rousseau, L.-M. (2017). Simultaneous Delivery Time and Aperture Shape Optimization for the Volumetric-Modulated Arc Therapy (VMAT) Treatment Planning Problem (Report No CIRRELT-2017-09). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport. Retrieved from https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2017-09.pdf
    • 2016
      • Report
        Jeihoonian, M., Zanjani, M.K. & Gendreau, M. (2016). A Decomposition Algorithm for Dynamic Reverse Supply Chain Network Design Under Uncertainty (Report No CIRRELT-2016-55). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport. Retrieved from https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2016-55.pdf
      • Report
        Hernandez, F., Gendreau, M., Jabali, O. & Rei, W. (2016). A local branching matheuristic for the multi-vehicle routing problem with stochastic demand (Report No CIRRELT-2016-67). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport. Retrieved from https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2016-67.pdf
      • Report
        Grangier, P., Gendreau, M., Lehuédé, F. & Rousseau, L.-M. (2016). A Matheuristic Based on Large Neighborhood Search for the Vehicle Routing Problem with Cross-Docking (Report No CIRRELT-2016-09). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport. Retrieved from https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2016-09.pdf
      • Report
        Hojabri, H., Gendreau, M., Potvin, J.-Y. & Rousseau, L.-M. (2016). Large neighborhood search with constraint programming for a vehicle routing problem with synchronization constraints (Report No CIRRELT-2016-31). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport.
      • Report
        Mathlouthi, I., Gendreau, M. & Potvin, J.-Y. (2016). Mixed integer programming for a multi-attribute technician routing and scheduling problem (Report No CIRRELT-2016-23). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport. Retrieved from https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2016-23.pdf
      • Report
        Fontaine, P., Crainic, T.G., Minner, S. & Gendreau, M. (2016). Population-Based Risk Equilibration for the Multi-Mode Hazmat Transport Network Design Problem (Report No CIRRELT-2016-63). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport. Retrieved from https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2016-63.pdf
      • Report
        Keutchayan, J., Gendreau, M. & Saucier, A. (2016). Quality Evaluation of Scenario-Tree Generation Methods for Solving High-Dimensional Stochastic Programs (Report No CIRRELT-2016-46). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport.
      • Report
        Amrouss, A., El Hachemi, N., Gendreau, M. & Gendron, B. (2016). Real-Time Management of Transportation Disruptions in Forestry (Report No CIRRELT-2016-13). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport. Retrieved from https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2016-13.pdf
      • Report
        Froger, A., Gendreau, M., Mendoza, J.E., Pinson, É. & Rousseau, L.-M. (2016). Solving a wind turbine maintenance scheduling problem (Report No CIRRELT-2016-10). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport. Retrieved from https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2016-10.pdf
      • Report
        Rahmaniani, R., Crainic, T.G., Gendreau, M. & Rei, W. (2016). The Benders Decomposition Algorithm: A Literature Review (Report No CIRRELT-2016-30). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport. Retrieved from http://www.cirrelt.ca/DocumentsTravail/CIRRELT-2016-30.pdf
    • 2015
      • Report
        Jeihoonian, M., Zanjani, M.K. & Gendreau, M. (2015). Closed-Loop Supply Chain Network Design under Uncertain Quality Status: Case of Durable Products (Report No CIRRELT-2015-56). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport. Retrieved from https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2015-56.pdf
    • 2014
      • Report
        Grangier, P., Gendreau, M., Lehuédé, F. & Rousseau, L.-M. (2014). An adaptive large neighborhood search for the two-echelon multiple-trip vehicle routing problem with satellite synchronization (Report No CIRRELT-2014-33). Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport. Retrieved from https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2014-33.pdf