Program

ME-01: Berit Brouer
Stream: Plenaries
Room: Sportshallen (building: 101)
Chair(s): Dario Pacino

• Charting the Course: How to power decision making in the Maersk transportation network with decision science
  Berit Brouer

TE-01: Pascal van Henteryck
Stream: Plenaries
Room: Sportshallen (building: 101)
Chair(s): Anita Schöbel

• Fusing Learning and Optimization for Engineering
  Pascal Van Hentenryck

WE-01: Charles Corbett [IFORS Distinguished Lecture]
Stream: Plenaries
Room: Sportshallen (building: 101)
Chair(s): Janny LEUNG

• The operations of well-being: How operations interacts with happiness, equity, and sustainability
  Charles Corbett

SF-01: Opening Session
Stream: Opening and Closing
Room: Sportshallen (building: 101)
Chair(s):

WF-01: Closing Session
Stream: Opening and Closing
Room: Sportshallen (building: 101)
Chair(s):

MC-01: Ruben Ruiz
Stream: Keynotes
Room: Sportshallen (building: 101)
Chair(s): Dolores Romero Morales

• Optimal is the enemy of good: Solving very large scale virtual machine placement problems at Amazon Elastic Compute Cloud
  Rubén Ruiz

TD-01: Veronica Piccialli
Stream: Keynotes
Room: Sportshallen (building: 101)
Chair(s): Elisabeth Köbis

• Optimizing machine learning: Enhancing interpretability and performance through mathematical optimization
  Veronica Piccialli

MB-01: Immanuel M. Bomze
Stream: Keynotes
Room: Sportshallen (building: 101)
Chair(s): Emilio CARRIZOSA

• Need to relax - but perhaps later?
  Immanuel Bomze

TB-01: Emma Frejinger
Stream: Keynotes
Room: Sportshallen (building: 101)
Chair(s): Virginie Lurkin

• A Contextual Stochastic Optimization Perspective on Demand Prediction for Decision Making
  Emma Frejinger

WB-01: Javier Alonso-Mora
Stream: Keynotes
Room: Sportshallen (building: 101)
Chair(s): Nikolaos Matsatsinis

• Dynamic vehicle routing and multi-objective task assignment for ride-pooling, last-mile logistics, and robotics
  Javier Alonso-Mora

MD-01: Pedro Amorim
Stream: Keynotes
Room: Sportshallen (building: 101)
Chair(s): Maria Antónia Carravilla

• Empirically driven operations research for improving retail operations
  Pedro Amorim

WD-01: Maria Besiou
Stream: Keynotes
Room: Sportshallen (building: 101)
Chair(s): Tina Wakolbinger

• Humanitarian operations: How can research help them become more efficient, effective and sustainable?
  Maria Besiou

WC-01: Bahar Yetis Kara
Stream: Keynotes
Room: Sportshallen (building: 101)
Chair(s): Ceyda Oguz

• Disaster Resilient Cities: An OR Approach to Disaster Management
  Bahar Yetis Kara

WC-46: Which Solver?
Stream: Making an Impact
Room: 40 (building: 324)
Chair(s): Johan Kellerth Fredlund

• MIP Solvers In Practice
  Making An Impact, Tobias Achterberg, Frédéric Gardi, Timo Berthold, Rubén Ruiz, Andreas Westerlund

MD-03: (Deep) Reinforcement Learning for Combinatorial Optimization 2
Stream: Data Science Meets Optimization
Room: 1005 (building: 202)
Chair(s): Kevin Tierney, Yingqian Zhang

• PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization
  André Hottung, Kevin Tierney
• A regression model for selecting effective cuts in a Branch-and-Cut algorithm
  Marcello Sammarra, Giovanni Giallombardo, Giovanna Miglionico
• Learning to Branch in Combinatorial Optimization with Graph Pointer Networks
  Bo Jiang, Rui Wang, Gang Zhou
• Learning to solve combinatorial optimization problems with a decision tree
  Kevin Tierney

MC-03: (Deep) Reinforcement Learning for Combinatorial Optimization 1
Stream: Data Science Meets Optimization
Room: 1005 (building: 202)
Chair(s): Yingqian Zhang, Kevin Tierney

• PPSTOW: An End-to-End Deep Reinforcement Learning Model for Master Stowage Planning on Container Vessels
  Jaike van Twiller, Djordje Grbic, Rune Jensen
• A Tale of Middle-Mile Logistics, Graph Neural Networks, and Reinforcement Learning
  Thibaut Cuvelier, Onno Eberhard, Bruno De Backer
• Addressing Real-World Side Constraints in Combinatorial Optimization with Deep Reinforcement Learning
  Nayeli Gast Zepeda, Kevin Tierney, André Hottung
• Learning Efficient and Fair Policies for Collaborative Human-Robot Order Picking
  Igor Smit, Zaharah Bukhsh, Yingqian Zhang

WB-03: Interpretable Optimization Methods and Applications
Stream: Data Science Meets Optimization
Room: 1005 (building: 202)
Chair(s): Patrick De Causmaecker

• Feature-Based Interpretable Optimization
  Sebastian Merten, Marc Goerigk, Michael Hartisch, Kartikey Sharma
• Explainability and Interpretability in Mathematical Optimization
  Michael Hartisch
• Leveraging Contextual Information for Robustness in Vehicle Routing Problems
  Irfan Mahmutogullari, Tias Guns

TA-01: Pascale Zarate
Stream: Keynotes
Room: Sportshallen (building: 101)
Chair(s): Audrius Kabasinskas

• Decision support systems: History and trends
  Pascale Zaraté

TB-03: Machine Learning in Applied Optimization
Stream: Data Science Meets Optimization
Room: 1005 (building: 202)
Chair(s): Michael Römer

• Learning optimal courier assignments in on-demand delivery platforms
  Gökhan Ceyhan, Pol Arias
• A DECISION SUPPORT FRAMEWORK FOR AUTOMATED REVIEWER ASSIGNMENT USING NLP AND OPTIMIZATION
  Meltem Aksoy, Seda Yanık, Mehmet Fatih Amasyali
• Harnessing the Power Trained Reinforcement Learning Agents in Job Shop Scheduling Problems
  Constantin Waubert de Puiseau, Hasan Tercan, Tobias Meisen
• Decision-focused learning with machine learning proxies for energy storage system optimization in energy markets
  Ruben Smets, Mathieu Tanneau, Jean-François Toubeau, Kenneth Bruninx, Pascal Van Hentenryck, Erik Delarue

TC-01: Milos Kopa
Stream: Keynotes
Room: Sportshallen (building: 101)
Chair(s): Milan Hladík

• Stochastic dominance in decision making under uncertainty
  Milos Kopa