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A rule-based recourse for the vehicle routing problem with stochastic demands

Salavati-Khoshghalb, Majid; Gendreau, Michel; Jabali, Ola; … - In: Transportation science : a journal of the Institute for … 53 (2019) 5, pp. 1334-1353

Persistent link: https://www.econbiz.de/10012108767

A hybrid recourse policy for the vehicle routing problem with stochastic demands

Salavati-Khoshghalb, Majid; Gendreau, Michel; Jabali, Ola; … - In: EURO journal on transportation and logistics 8 (2019) 3, pp. 269-298

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An exact algorithm to solve the vehicle routing problem with stochastic demands under an optimal restocking policy

Salavati-Khoshghalb, Majid; Gendreau, Michel; Jabali, Ola; … - In: European journal of operational research : EJOR 273 (2019) 1, pp. 175-189

Persistent link: https://www.econbiz.de/10011979484

A capacitated lot sizing problem with stochastic setup times and overtime

Taş, Duygu; Gendreau, Michel; Jabali, Ola; Jans, Raf - In: European journal of operational research : EJOR 273 (2019) 1, pp. 146-159

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An iterated local search metaheuristic for the capacitated demand-driven timetabling problem

Schettini, Tommaso; Gendreau, Michel; Jabali, Ola; … - In: Transportation science 57 (2023) 5, pp. 1379-1401

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Scheduled service network design with resource management for two-tier multimodal city logistics

Fontaine, Pirmin; Crainic, Teodor Gabriel; Jabali, Ola; … - In: European journal of operational research : EJOR 294 (2021) 2, pp. 558-570

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Tactical capacity planning in an integrated multi-stakeholder freight transportation system

Taherkhani, Gita; Bilegan, Ioana C.; Crainic, Teodor Gabriel - In: Omega : the international journal of management science 110 (2022), pp. 1-16

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An adaptive large-neighborhood search heuristic for a multi-period vehicle routing problem

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The Benders decomposition algorithm : a literature review

Rahmaniani, Ragheb; Crainic, Teodor Gabriel; Gendreau, … - In: European journal of operational research : EJOR 259 (2017) 3, pp. 801-817

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An asynchronous parallel benders decomposition method for stochastic network design problems

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