Program

TE-01: Andrea Lodi [IFORS Distinguished Lecture]
Stream: Plenaries
Room: A (building Main lobby)
Chair(s): Dolores Romero Morales

• Fairness over time and dynamic resource allocation
  Andrea Lodi

SF-01: Opening session
Stream: Opening and Closing
Room: A (building Main lobby)
Chair(s):

ME-01: Marja-Liisa Siikonen
Stream: Plenaries
Room: A (building Main lobby)
Chair(s): Antti Punkka

• Future trends in vertical transportation
  Marja-Liisa Siikonen

WE-01: Christina Pagel
Stream: Plenaries
Room: A (building Main lobby)
Chair(s): Marc Sevaux

• An overview of the Covid-19 pandemic and a reflection of the interconnectedness of systems
  Christina Pagel

TB-01: Emilio Carrizosa
Stream: Keynotes
Room: A (building Main lobby)
Chair(s): Ruth Misener

• PREDICTING AND DECIDING WITH MACHINE LEARNING: (TRY TO) UNDERSTAND WHAT YOU DO AND (TRY TO) BE FAIR
  Emilio CARRIZOSA

WF-01: Closing session
Stream: Opening and Closing
Room: A (building Main lobby)
Chair(s):

WB-01: Claudia Archetti [EUROYoung]
Stream: Keynotes
Room: A (building Main lobby)
Chair(s): Valentina Morandi

• How to deliver a successful research work in 2022: Focus on routing and logistics
  Claudia Archetti

TD-01: Martin Schmidt
Stream: Keynotes
Room: A (building Main lobby)
Chair(s): Arie Koster

• Recent algorithmic advances in bilevel optimization
  Martin Schmidt

MB-01: Daniel Kuhn
Stream: Keynotes
Room: A (building Main lobby)
Chair(s): Juan Miguel Morales

• On Robust Optimization, Blackouts and the Law
  Daniel Kuhn

TA-01: Antonio Conejo
Stream: Keynotes
Room: A (building Main lobby)
Chair(s): Antonio Alonso-Ayuso

• Solving Certain Types of Large-Scale Scheduling Problems via Hybrid Decomposition
  Antonio Conejo

MD-01: Fran Ackermann
Stream: Keynotes
Room: A (building Main lobby)
Chair(s): Rudolf Vetschera

• Managing Grand Challenges – Engaging Stakeholders through the lens of Problem Structuring Methods and Behaviour OR
  Fran Ackermann

MF-01: Roundtable with Forums
Stream: EURO Forums Plenary Session
Room: A (building Main lobby)
Chair(s): Julia Bennell

• Roundtable with Forums
  Julia Bennell

TC-01: Grit Walther
Stream: Keynotes
Room: A (building Main lobby)
Chair(s): Ana Barbosa-Povoa

• Interdisciplinary perspectives on the transformation of our energy, industrial, and mobility systems
  Grit Walther

MB-03: Machine Learning and Mathematical Optimization in Location and Logistics
Stream: Machine Learning and Mathematical Optimization
Room: C (building Main lobby)
Chair(s): Cristina Molero-Río

• Predict-and-optimize to address uncertainty in logistics: a tailored neural network approach
  Nuria Gómez-Vargas, Emilio CARRIZOSA, Rafael Blanquero
• A Matheuristic for the Obnoxious p-Median Problem
  Tamara Bigler
• Operations Research to evaluate public transport performance in the EU
  Martina Fischetti, Davide Duma, Stefano Gualandi, Juan Nicolas Ibanez, Claudio Tomasi
• Learning to Solve Electric Vehicle Routing Problems with Nonlinear Charging Functions
  James Fitzpatrick, Deepak Ajwani, Paula Carroll

MA-01: Burcu Balçık
Stream: Keynotes
Room: A (building Main lobby)
Chair(s): Özgen Karaer

• Challenges and Opportunities for Operations Research to Improve Humanitarian Decision Making and Collaboration
  Burcu Balcik

MD-03: Dealing with Fairness in Machine Learning through Mathematical Optimization
Stream: Machine Learning and Mathematical Optimization
Room: C (building Main lobby)
Chair(s): Kseniia Kurishchenko

• Improving the fairness of Generalized Linear Models by feature shrinkage
  Marcela Galvis Restrepo, Dolores Romero Morales, Emilio CARRIZOSA
• On a mathematical optimization formulation to trade off accuracy and fairness in LASSO regression
  Thomas Halskov, Dolores Romero Morales, Emilio CARRIZOSA
• An integer optimization-based approach to fair clustering
  Philipp Baumann, Manuel Kammermann
• On fair random forests
  Kseniia Kurishchenko, Emilio CARRIZOSA, Dolores Romero Morales

TB-05: Integrating Machine Learning in Optimization Methods
Stream: Data Science Meets Optimization
Room: E (building Main lobby)
Chair(s): Michael Römer

• Learning to solve a stochastic orienteering problem with time windows
  André Hottung, Kevin Tierney
• Learning to Approximate State-Expanded Network Models
  Michael Römer
• State-based Reinforcement Learning for Hyper-heuristics
  Lucas Kletzander, Nysret Musliu
• Application of artificial neural networks in predicting cost of mechanical projects
  George Aretoulis, Christina Livitsanou

MA-03: Optimal Classification and Regression Trees
Stream: Machine Learning and Mathematical Optimization
Room: C (building Main lobby)
Chair(s): Cristina Molero-Río

• New optimization models for optimal classification trees
  Valentine Huré, Zacharie Ales, Amélie Lambert
• Randomized regression trees: a model variant with disaggregated predictions and a decomposition training algorithm
  Antonio Consolo, Edoardo Amaldi, Andrea Manno
• Learning Geospatial Decision Tree Splitters
  Margot Geerts, Seppe vanden Broucke, Jochen De Weerdt
• On sparse optimal regression trees for multivariate functional data
  Cristina Molero-Río, Rafael Blanquero, Emilio CARRIZOSA, Dolores Romero Morales

WC-37: Routing Problems Under Uncertainty
Stream: Vehicle Routing and Logistics
Room: V001 (building Business School)
Chair(s): Fabien Lehuédé, Maria I. Restrepo

• Stochastic modeling and algorithms for the Dynamic Vehicle Routing Problem with Urgent Tasks
  Jasper Bos, Richard Boucherie, Dylan Huizing, Diego Pecin, Remy Spliet
• Capacitated Vehicle Routing with Stochastic Loading Constraints
  David Winkelmann, Jakob Schulte, André Hottung
• The Hazardous Orienteering Problem
  Alberto Santini, Claudia Archetti
• Tour Scheduling in Attended Home Delivery
  Maria I. Restrepo, Fabien Lehuédé, Tom Perroux

WA-17: Optimization Software: Other Topics
Stream: Software for Optimization
Room: U356 (building East corridors)
Chair(s): Robert Fourer

• Progress in Mathematical Programming Solvers from 2001 to 2020
  Thorsten Koch
• Efficiently Explaining Constraint Satisfaction Problems with Unsatisfiable Subset Optimization
  Emilio Gamba, Bart Bogaerts, Tias Guns
• Understanding Solver Logs and Parameter Tuning
  Mario Ruthmair