Program for stream Data Science meets Optimization

TD-11: Advances in Optimization
Stream: Data Science meets Optimization
Room: Room 11
Chair(s): Adam Górski

• 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

HD-07: Emerging applications in data science and optimization
Stream: Data Science meets Optimization
Room: Room 7
Chair(s): Kevin Tierney, Xing XIONG

• 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

FE-07: Data Science meets Optimization
Stream: Data Science meets Optimization
Room: Room 7
Chair(s): Ender Özcan, Patrick De Causmaecker

• 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