Group for Research in Decision Analysis

An article co-authored by Professors Okan Arslan, Ola Jabali and Gilbert Laporte received an honourable mention in the awarding of the Best Paper of the Year Award by the international association INFORMS Transportation Science and Logistics (TSL).

The article ranked close second among the 26 submissions received this year at the INFORMS annual meeting for the Transportation Science and Logistics category.

This study, titled Exact Solution of the Evasive Flow Capturing Problem presents an innovative solution to a complex problem of intercepting illegal vehicles in a transportation network. It was first published in November 2018 in the journal Operations Research, which is part of the Financial Times list (FT50) of the 50 scientific journals with the most impact in the business sector.

For more information visit this website.

Sihem Taboubi, Professor at HEC Montréal and GERAD member, has just published with Pierre-Olivier Pineau et Simon Sigué the book "Games in Management Science" at Springer.

This book highlights the latest treatment of emerging and revisited problems in management science that honors the scientific achievements of Professor Georges Zaccour.

The book was launched as part of the Workshop on Dynamic Games in Management Sciences held in Montreal on October 24 and 25, 2019.

On October 16th, the 4th edition of the GERAD Day was held for members and students of GERAD only. For this occasion, six members made a presentation on their research interests. They were Charles Audet and Roland P. Malhamé (Polytechnique Montréal), Marilène Cherkesly and Claudio Contardo (UQAM), Roussos Dimitrakopoulos (McGill University), Raf Jans (HEC Montréal) and Daniel Lafond ( Thales Research and Technology). The day attracted more than 60 people.

Thank you all for your participation!

Title: Confection de tournées de livraison dans un réseau urbain à l'aide de métaheuristiques et de méthodes de forage de données massives

Three HEC Montréal students, members of GERAD, have been chosen to take part in the NSERC–CREATE Program on Machine Learning in Quantitative Finance and Business Analytics (Fin-ML FONCER).

Audrey Leduc, MSc in gestion – business intelligence, supervised by Denis Larocque

Rémi Galarneau-Vincent, PhD in administration – financial engineering, supervised by Geneviève Gauthier

Ahmadreza Tavasoli, PhD in administration – financial engineering, supervised by Michèle Breton