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Program for stream EURO Working Group Data Science meets Optimisation
Sunday
Monday
Tuesday
Tuesday, 14:30-16:00
TD-55: Data Science and Optimization
Stream: EURO Working Group Data Science meets Optimisation
Room: Virtual Room 55
Chair(s):
Patrick De Causmaecker, Daniel Karapetyan, Ender Özcan
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Democratising Constraint Satisfaction Problems through Machine Learning
Mohit Kumar, Samuel Kolb, Clement Gautrais, Luc De Raedt -
Using the Proximal Policy Optimization Algorithm for Solving the Stochastic Capacitated Lot Sizing Problem
Lotte van Hezewijk, Nico Dellaert, Tom van Woensel, Noud Gademann -
The Hyperparameter Optimization Problem in Matrix Factorization
Laura Selicato, Flavia Esposito, Nicoletta Del Buono
Tuesday, 16:30-18:00
TE-55: Optimization Models for Machine Learning
Stream: EURO Working Group Data Science meets Optimisation
Room: Virtual Room 55
Chair(s):
Dimitri Papadimitriou
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Optimal demand response scheduling of a residential Microgrid with consideration of prosumer preferences
Mohamed Saâd El Harrab, Michel Nakhla -
Classification Rules for Interpretable Learning with Linear Programming
M.Hakan AKYUZ, Ilker Birbil -
Genetic algorithm with penalty function for detecting and assignment of unexpected tasks in embedded systems design process
Adam Górski, Maciej Ogorzałek -
Finding descent directions for non-linear composite problems and applications
Dimitri Papadimitriou, Cong Bang Vu
Tuesday, 18:30-20:00
TF-55: Better Decisions with Data II
Stream: EURO Working Group Data Science meets Optimisation
Room: Virtual Room 55
Chair(s):
Yingqian Zhang
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Data-driven expert opinion calibration and aggregating: simulation study of the effects on decision making
Risto Heikkinen -
Adaptive recommendation system for taxi drivers
Duy Hoang Tran, Pieter Leyman, Patrick De Causmaecker -
A Learning Relocation Policy for Dynamic Ride-Sharing
Jarmo Haferkamp, Marlin Wolf Ulmer, Jan Fabian Ehmke
Wednesday
Wednesday, 8:30-10:00
WA-55: Data-driven decisions in OR
Stream: EURO Working Group Data Science meets Optimisation
Room: Virtual Room 55
Chair(s):
Hatice Calik, Victor Bucarey
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Monte Carlo tree search for combinatorial optimization
Jorik Jooken, Pieter Leyman, Patrick De Causmaecker, Tony Wauters -
A hybrid Mixed Integer Programming and automatic Tree Search algorithm for the Nurse Rostering Problem
Ziyi Chen, Patrick De Causmaecker -
Learn-n-Route: Learning implicit preferences for vehicle routing
Rocsildes Canoy
Wednesday, 10:30-12:00
WB-55: Integrating machine learning in optimization methods I
Stream: EURO Working Group Data Science meets Optimisation
Room: Virtual Room 55
Chair(s):
Kevin Tierney
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Reinforcement Learning enabled optimisation for home delivery services
Yimo Yan, Yong-Hong Kuo -
Improving Clarke and Wright Heuristic with Machine Learning
Clément Legrand, Luca Accorsi, Laetitia Jourdan, Diego Cattaruzza, Marie-Eléonore Kessaci, Daniele Vigo -
Smarter automatic algorithm configuration for the capacitated vehicle routing problem
Pieter Leyman, Holger Hoos -
Efficient Active Search for Combinatorial Optimization Problems
André Hottung, Yeong-Dae Kwon, Kevin Tierney
Wednesday, 12:30-14:00
WC-55: Better Decisions with Data I
Stream: EURO Working Group Data Science meets Optimisation
Room: Virtual Room 55
Chair(s):
Yingqian Zhang
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Prescriptive Analytics in Logistics Management
Leif Meier -
Forecasting the all-time demand of spare parts with Bayesian hierarchical diffusion models
Julius Mehringer -
Solving the Online Batching Problem using Deep Reinforcement Learning
Yingqian Zhang, Bram Cals, Remco Dijkman, Claudy van Dorst -
Differentially Private Resource Allocation
Utku Karaca, Ilker Birbil
Wednesday, 14:30-16:00
WD-55: Integrating machine learning in optimization methods II
Stream: EURO Working Group Data Science meets Optimisation
Room: Virtual Room 55
Chair(s):
Kevin Tierney
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An Actor-Critic algorithm with Deep Double Recurrent agent to solve Job Shop Scheduling
Marta Monaci, Giorgio Grani -
Benchmarking Surrogate-based Optimization Algorithms on Expensive Black-box Functions
Laurens Bliek, Arthur Guijt, Rickard Karlsson, Sicco Verwer, Mathijs de Weerdt -
Learning a Latent Search Space for Routing Problems using Variational Autoencoders
Kevin Tierney, André Hottung, Bhanu Bhandari