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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. Lien externe
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. Lien externe
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. Lien externe
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. (Rapport technique n° CIRRELT-2017-61). Lien externe
Salavati-Khoshghalb, M., Gendreau, M., Jabali, O., & Rei, W. (mai 2018). An exact algorithm to solve the vehicle routing problem with stochastic demands under an optimal restocking policy [Communication écrite]. International Workshop on Vehicle Routing, Intermodal Transportation and Related Areas, Snekkersten, Denmark.. Non disponible
Salavati-Khoshghalb, M., Gendreau, M., Jabali, O., & Rei, W. (2017). A hybrid recourse policy for the vehicle routing problem wotj stochastic demands. (Rapport technique n° CIRRELT-2017-42). Lien externe
Salavati-Khoshghalb, M., Gendreau, M., Jabali, O., & Rei, W. (2017). A rule-based recourse for the vehicle routing problem with stochastic demands. (Rapport technique n° CIRRELT-2017-36). Lien externe
