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Program for stream Data Science meets Optimization
Monday
Tuesday
Tuesday, 14:00-15:40
TD-11: Advances in Optimization
Stream: Data Science meets Optimization
Room: Room 11
Chair(s):
Adam Górski
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Use of soft computing for solving combinatorial optimization problems
Arindam Roy, ILKYEONG MOON -
Sparse simultaneous component analysis using alternating maximization and adaptive lasso penalty
Rosember Guerra-Urzola, Juan Vera, Katrijn Van Deun, Klaas Sijtsma -
Bayesian multiobjective ranking and selection
Sebastian Rojas Gonzalez, Juergen Branke, Inneke Van Nieuwenhuyse
Wednesday
Thursday
Thursday, 14:00-15:40
HD-07: Emerging applications in data science and optimization
Stream: Data Science meets Optimization
Room: Room 7
Chair(s):
Kevin Tierney, Xing XIONG
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Forecasting of number of international immigrants in Turkey's sea lane
BAŞAK GEVER, FATMA ÇARMAN ÇEVİK, Nihat Tak, Tahir Khaniyev -
A failure-based data-driven approach for advancing preventive maintenance
Heletje van Staden, Laurens Deprez, Robert Boute -
Guiding AI and machine learning models through the economic cycle
Joseph Breeden, Eugenia Leonova -
Data-Driven Robust Dual-Sourcing Inventory Management Under Purchase Price and Demand Uncertainties
Xing XIONG, Yanzhi Li, Wenguo Yang, Huaxiao Shen
Friday
Friday, 16:00-17:40
FE-07: Data Science meets Optimization
Stream: Data Science meets Optimization
Room: Room 7
Chair(s):
Ender Özcan, Patrick De Causmaecker
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Using rank information to improve the performance of matrix completion algorithms.
Tacildo Araújo, Cristiano Torezzan -
Learn-heuristic algorithm for large-scale combinatorial optimization problems: The case of the Travelling Salesman Problem
Christos-Georgios Xanthopoulos, Pantelis Lappas, Manolis Kritikos -
Non-monotone Adaptive Trust-Region Method
Dimitri Papadimitriou -
Neural networked assisted tree search for the personnel rostering problem
Ziyi Chen, Patrick De Causmaecker, Jorik Jooken