Optimization Days 2024

HEC Montréal, Québec, Canada, 6 — 8 May 2024

Welcome to the 2024 Optimization Days

Optimization Days is an annual conference organized alternately by the Group for Research in Decision Analysis (GERAD) and the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT).

The conference aims to survey theory, numerical methods, and applications of optimization. It provides researchers from around the world the opportunity to exchange and to collaborate.

Topics of interest include, but are not restricted to:

  • Conic and polynomial optimization
  • Constraint programming
  • Data-driven mathematical optimization and machine learning
  • Derivative-free optimization
  • Dynamic programming and optimal control
  • Game theory
  • Global optimization
  • Heuristics and metaheuristics
  • Linear and integer optimization
  • Multicriteria decision aid
  • Networks and graphs
  • Nonlinear optimization
  • Simulation
  • Smart grids
  • Statistical methods and data mining
  • Stochastic and robust optimization
  • Applications in all areas, and particularly in:
    • Biology
    • Energy, environment and natural resources
    • Financial engineering and mathematical finance
    • Health
    • Marketing
    • Operations management
    • Robotics
    • Scheduling
    • Telecommunications
    • Transportation

We especially encourage presentations on new methods of optimization and their applications. The conference languages will be French and English. In 2024, Optimization Days will be held at HEC Montréal, 3000 chemin de la Côte-Sainte-Catherine, Montreal, near the Campus of the Université de Montréal.


Plenary speakers:

  • Claudia d’Ambrosio, CRNS, Polytechnique LIX, France
    Mixed integer nonlinear optimization in energy systems: old and new challenges

  • Erick Delage, HEC Montréal, Canada
    Towards Robust and Risk-aware Contextual Optimization

  • Mike Hewitt, Loyola University Chicago, USA
    The L-Shaped Method for Stochastic Programs with Decision-Dependent Uncertainty
  • Michael Rabbat, Meta AI (FAIR), Canada
    Benchmarking Neural Network Training Algorithms

  • Karen Smilowitz, Northwestern University, USA
    Access and equity: the use of optimization models in public school decision-making


  • Fabian Bastin, Université de Montréal, Canada
    Short-term electricity demand forecasting

  • Guy Desaulniers, Polytechnique Montréal, Canada
    Branch-and-price algorithms for electric vehicle routing

  • Dena Firoozi, HEC Montréal, Canada
    Shuang Gao, Polytechnique Montréal, Canada
    Mean Field Games and Applications

  • Thibaut Vidal, Polytechnique Montréal, Canada
    Combinatorial Optimization for Trustworthy Machine Learning

 The preliminary program will be available on our website in April 2024.

 Important Dates:

  • April 2nd, 2024 - Deadline for submission of abstracts for the Optimization Days
  • The notification of acceptance will be sent as abstracts will be submitted.
  • April 5, 2024 - Deadline for the registration fee discount


2024 Optimization Days

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IBS Software                   




Okan Arslan, Olivier Bahn, Jérôme Le Ny and Sara Séguin
GERAD, HEC Montréal
3000, chemin de la Côte-Sainte-Catherine, Montréal (Québec) Canada H3T 2A7
Fax: 514 340-5665
E-mail: congres@gerad.ca
Web page: https://symposia.gerad.ca/jopt2024/