1 citations · 2 across the 3 of their papers we have counts for
3 papers
Learning optimal objective values for MILP
Lara Scavuzzo, Karen Aardal, Neil Yorke-Smith
Modern Mixed Integer Linear Programming (MILP) solvers use the Branch-and-Bound algorithm together with a plethora of auxiliary components that speed up the search. In recent years…
Machine Learning Augmented Branch and Bound for Mixed Integer Linear Programming
Lara Scavuzzo, Karen Aardal, Andrea Lodi +1
Mixed Integer Linear Programming (MILP) is a pillar of mathematical optimization that offers a powerful modeling language for a wide range of applications. During the past decades,…
Adaptive parallelization of multi-agent simulations with localized dynamics
Alexandru-Ionuţ Băbeanu, Tatiana Filatova, Jan H. Kwakkel +1
Agent-based modelling constitutes a versatile approach to representing and simulating complex systems. Studying large-scale systems is challenging because of the computational time…