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Incluant une Journée industrielle de l'optimisation

HEC Montréal, 7 - 9 mai 2012

JOPT2012

HEC Montréal, 7 — 9 mai 2012

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TD5 Applications de l'optimisation en ingénierie / Engineering Applications of Optimization

8 mai 2012 15h30 – 17h10

Salle: Raymond Chabot Grant Thornton

Présidée par Miguel F. Anjos

4 présentations

  • Cal add eabad1550a3cf3ed9646c36511a21a854fcb401e3247c61aefa77286b00fe402
    15h30 - 15h55

    Application of Robust Optimization in Designing Digital Circuits

    • Laleh Behjat, Présentateur, University of Calgary
    • Bardia Samimi, University of Calgary
    • Logan Rakai, University of Calgary

    In the past few decades,the sizes of circuits have been increasing exponentially. Variability in the mode of operation and the fabrication process means that many parameters are non-deterministic, making finding a global optimal point very hard. In this presentation, applications of robust optimization in designing digital circuits are discussed.

  • Cal add eabad1550a3cf3ed9646c36511a21a854fcb401e3247c61aefa77286b00fe402
    15h55 - 16h20

    Numerical Approaches to the Logit Network Pricing Problem

    • François Gilbert, Présentateur, Polytechnique Montréal
    • Patrice Marcotte, Université de Montréal
    • Gilles Savard, Polytechnique Montréal

    In this talk, we address the numerical solution of a pricing problem where users are assigned according to a logit model onto the paths of a transportation network. Although this highly nonconvex problem admits a large number of local optima, we develop strategies that allow to uncover near-optimal solutions, through a mixture of approximations and local ascent techniques.

  • Cal add eabad1550a3cf3ed9646c36511a21a854fcb401e3247c61aefa77286b00fe402
    16h20 - 16h45

    A Dynamic Control Scheme for a Fuzzy Quality Characteristic

    • Rym M'Hallah, Présentateur, Kuwait University
    • Brian Melloy, Clemson University

    A dynamic economic control scheme for a fuzzy quality characteristic is proposed. This scheme has adaptive sampling intervals, sample sizes and operating policies, and minimizes total cost. It describes the process via aggregated fuzzy membership functions. It is less costly than schemes that are static or based on measures of centrality.

  • Cal add eabad1550a3cf3ed9646c36511a21a854fcb401e3247c61aefa77286b00fe402
    16h45 - 17h10

    A Semidefinite Optimization Approach to Space-Free Multi-Row Facility Layout

    • Philipp Hungerländer, Alpen-Adria-Universität Klagenfurt
    • Miguel F. Anjos, Présentateur, GERAD, Polytechnique Montréal

    Multi-row facility layout seeks an optimal placement of departments along rows. Large single-row problems have been solved to global optimality using semidefinite optimization. We extend the approach to space-free multi-row layout and show that if provides high-quality bounds in reasonable time.

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