Incluant une Journée industrielle de l'optimisation

HEC Montréal, 7 - 9 mai 2012


HEC Montréal, 7 — 9 mai 2012

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Cal add eabad1550a3cf3ed9646c36511a21a854fcb401e3247c61aefa77286b00fe402

WB2 Tournées de véhicules 6 / Vehicle Routing 6

9 mai 2012 11h00 – 12h15

Salle: KPMG

Présidée par André Langevin

2 présentations

  • Cal add eabad1550a3cf3ed9646c36511a21a854fcb401e3247c61aefa77286b00fe402
    11h00 - 11h25

    Problematic Encountered in a Real Case Study on Winter Maintenance

    • Olivier Quirion-Blais, Présentateur, Polytechnique Montréal
    • Martin Trépanier, Polytechnique Montréal
    • André Langevin, Polytechnique Montréal

    Vehicle routing for winter maintenance causes many problems due to the specificity of the requirements and the diversity related to the location and the weather condition. We discuss some of the issues encountered within a case study of a small city in the province of Quebec. The issues discussed are related to the inadequacy of the available algorithms, as well as the technical difficulties of performing theoretical tour on the field.

  • Cal add eabad1550a3cf3ed9646c36511a21a854fcb401e3247c61aefa77286b00fe402
    11h25 - 11h50

    Hybrid Metaheuristics for Routing and Scheduling problems

    • Jamal Ouenniche, University of Edinburgh
    • Prasanna Kumar Ramaswamy, Présentateur, University of Edinburgh

    In the Management Science/Operational Research (MS/OR) area, routing and scheduling problems have been at the origin of the design of many optimal and heuristic solution frameworks such as branch-and-bound algorithms, branch-and-cut algorithms, and metaheuristics. In this study we develop a new hybrid metaheuristic framework and test both its effectiveness and its efficiency in solving complex combinatorial optimization problems such as routing and scheduling problems. Hybridising metaheuristics has proven to be a promising area of research because of its ability to exploit the strengths of various methods embedded within the hybrid design. The design of hybrid metaheuristics is not new to MS/OR researchers; however, most designs tend to combine different search strategies of “pure” metaheuristics such as simulated annealing and tabu search. In this research, we explore different ways of designing hybrid metaheuristics. The main question we intend to answer could be summarized as follows: Is it possible to use the intelligence of exact algorithms to guide the search? We adapt our novel ideas to the case of the well known travelling salesman problem and use our algorithm to solve the TSPLIB test instances. Computational results confirm the attractiveness of this type of hybrid design in addressing Routing and Scheduling problems.