Journées de l'optimisation 2017

HEC Montréal, 8-10 mai 2017

1er Atelier Canadien sur l'optimisation des soins de santé (CHOW)

HEC Montréal, 10-11 mai 2017

JOPT2017

HEC Montréal, 8 — 11 mai 2017

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MB3 Méthodes exactes pour les problèmes de transport / Exact methods for routing problems

8 mai 2017 10h30 – 12h10

Salle: Marie-Husny

Présidée par Rafael Martinelli

4 présentations

  • 10h30 - 10h55

    A comparison of formulations for the three-level lot sizing and transportation problem

    • Matthieu Gruson, prés., HEC Montréal/CIRRELT
    • Jean-François Cordeau, HEC Montréal, GERAD, CIRRELT
    • Raf Jans, HEC Montréal

    In this talk we will present several MIP formulations to solve the three-level lot sizing and transportation problem. The formulations are either adapted from the two-level lot sizing literature or new. The results of extensive computational experiments will be given to compare the performance of each formulation.

  • 10h55 - 11h20

    A Branch-and-cut algorithm for the routing and refueling station location problem

    • Okan Arslan, prés., GERAD, HEC Montréal
    • Oya Karasan, Bilkent University
    • A.Ridha Mahjoub, Université Paris Dauphine
    • Hande Yaman, Bilkent University

    We introduce a novel model for the routing and refueling station location problem for alternative fuel vehicles and develop a branch-and-cut algorithm as an exact solution methodology. Computational experiments show that the algorithm improves solution times by orders of magnitude with respect to previously developed models and methods.

  • 11h20 - 11h45

    Exact methods for the Time Window Assignment Vehicle Routing Problem

    • Kevin Dalmeijer, prés., Erasmus University Rotterdam
    • Guy Desaulniers, GERAD - Polytechnique Montréal

    We consider the Time Window Assignment Vehicle Routing Problem (TWAVRP), the problem of assigning time windows for delivery before demand volume becomes known. We consider both branch-and-cut and branch-price-and-cut algorithms to solve this problem to optimality. The algorithms are compared on their performance on a set of test-instances.

  • 11h45 - 12h10

    Exact and Heuristic Algorithms for an Industrial and Tramp Ship Routing and Scheduling Problem

    • Gabriel Homsi, Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio)
    • Rafael Martinelli, prés., Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio)
    • Thibaut Vidal, Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio)

    We tackle a ship routing problem which extends the Pickup and Delivery Problem with Time Windows with heterogeneous fleet, compatibility constraints and different ship starting points. We propose a Hybrid Genetic Search with Advanced Diversity Control and a column generation algorithm. Our experiments show the good performance of the methods.

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