7 citations · 8 across the 2 of their papers we have counts for
3 papers
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights
Maxime Gasse, Quentin Cappart, Jonas Charfreitag +38
Combinatorial optimization is a well-established area in operations research and computer science. Until recently, its methods have focused on solving problem instances in isolatio…
Efficient primal heuristics for mixed-integer linear programs
Akang Wang, Linxin Yang, Sha Lai +7
This paper is a short report about our work for the primal task in the Machine Learning for Combinatorial Optimization NeurIPS 2021 Competition. For each dataset of our interest in…
A Scenario Decomposition Algorithm for Strategic Time Window Assignment Vehicle Routing Problems
Anirudh Subramanyam, Akang Wang, Chrysanthos E. Gounaris
We study the strategic decision-making problem of assigning time windows to customers in the context of vehicle routing applications that are affected by operational uncertainty. T…