Miguel F. Anjos, PhD, FCAE
miguel-f.anjos@polymtl.ca

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KyotoMontreal Research Collaboration 
on 
Discrete Optimization and its Applications


Project Leaders

David Avis and Kazuo Iwama


Principal members

Kyoto:

Marco Cuturi, Satoru Iwata, Naoki Katoh, Hiroshi Nagamochi, Shin-ichi Tanigawa


Montreal:

Miguel F. Anjos, Guyslain Naves, Bruce Reed, Bruce Shepherd, Adrian Vetta


Objectives

  • To combine the research efforts of two major research groups in discrete optimization, one in Kyoto and one in Montreal
  • To solve concrete problems, contributing to the training of young researchers in computer science and optimization

Main Events

  • July–September 2012: Working group on discrete optimization

Location: GERAD
Organizers: M. F. Anjos and D. Avis


  • April–July 2012: Project start-up in Kyoto: Working group on evacuation models, polyhedral computation and machine learning

Location: Kyoto University
Organizers: M. F. Anjos and D. Avis


  • January–April 2012: Project start-up: Working group on computing a Nash equilibrium and on evacuation models

Location: GERAD
Organizers: M. F. Anjos and D. Avis


Related Events

  • August 27-September 7 2012: MLSS '12 Kyoto: 21st Machine Learning Summer School

Project summary:

Discrete optimization is a branch of computer science and applied mathematics which has shown remarkable theoretical and practical development in recent years. It combines the techniques of combinatorial analysis, linear programming and the theory of algorithms with the goal of solving optimization problems with discrete decision variables. We considered the five subprojects below:

  • Evacuation models
  • Efficient generation of molecules in biology and chemistry
  • Generation of a Nash equilibrium by the primal-dual interior point method
  • Application of polyhedral computation to machine learning
  • Discrete multiflows in networks
Project Financing: N.S.E.R.C. and J.S.P.S.