16 citations · 20 across the 4 of their papers we have counts for
5 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…
Improving Hyperparameter Optimization by Planning Ahead
Hadi S. Jomaa, Jonas Falkner, Lars Schmidt-Thieme
Hyperparameter optimization (HPO) is generally treated as a bi-level optimization problem that involves fitting a (probabilistic) surrogate model to a set of observed hyperparamete…
RP-DQN: An application of Q-Learning to Vehicle Routing Problems
Ahmad Bdeir, Simon Boeder, Tim Dernedde +3
In this paper we present a new approach to tackle complex routing problems with an improved state representation that utilizes the model complexity better than previous methods. We…
Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention
Jonas K. Falkner, Lars Schmidt-Thieme
Many real-world vehicle routing problems involve rich sets of constraints with respect to the capacities of the vehicles, time windows for customers etc. While in recent years firs…