4 citations · 4 across the 2 of their papers we have counts for
3 papers
Large Neighborhood Search based on Neural Construction Heuristics
Jonas K. Falkner, Daniela Thyssens, Lars Schmidt-Thieme
We propose a Large Neighborhood Search (LNS) approach utilizing a learned construction heuristic based on neural networks as repair operator to solve the vehicle routing problem wi…
Supervised Permutation Invariant Networks for Solving the CVRP with Bounded Fleet Size
Daniela Thyssens, Jonas Falkner, Lars Schmidt-Thieme
Learning to solve combinatorial optimization problems, such as the vehicle routing problem, offers great computational advantages over classical operations research solvers and heu…
Do We Really Need Deep Learning Models for Time Series Forecasting?
Shereen Elsayed, Daniela Thyssens, Ahmed Rashed +2
Time series forecasting is a crucial task in machine learning, as it has a wide range of applications including but not limited to forecasting electricity consumption, traffic, and…