An efficient evolutionary solution to the joint order batching - order picking planning problem. - Riccardo Lucato; Jonas K. Falkner; Lars Schmidt-Thieme (GECCO Companion, 2020)

Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention. - Jonas K. Falkner; Lars Schmidt-Thieme (CoRR, 2020)

RP-DQN: An Application of Q-Learning to Vehicle Routing Problems. - Ahmad Bdeir; Simon Boeder; Tim Dernedde; Kirill Tkachuk; Jonas K. Falkner; Lars Schmidt-Thieme (KI, 2021)

Improving Hyperparameter Optimization by Planning Ahead. - Hadi S. Jomaa; Jonas K. Falkner; Lars Schmidt-Thieme (CoRR, 2021)

Solving the Traveling Salesperson Problem with Precedence Constraints by Deep Reinforcement Learning. - Christian Löwens; Inaam Ashraf; Alexander Gembus; Genesis Cuizon; Jonas K. Falkner; Lars Schmidt-Thieme (KI, 2022)

Attention, Filling in the Gaps for Generalization in Routing Problems. - Ahmad Bdeir; Jonas K. Falkner; Lars Schmidt-Thieme (ECML/PKDD (6), 2022)

Learning to Control Local Search for Combinatorial Optimization. - Jonas K. Falkner; Daniela Thyssens; Ahmad Bdeir; Lars Schmidt-Thieme (ECML/PKDD (5), 2022)

Supervised Permutation Invariant Networks for Solving the CVRP with Bounded Fleet Size. - Daniela Thyssens; Jonas K. Falkner; Lars Schmidt-Thieme (CoRR, 2022)

Large Neighborhood Search based on Neural Construction Heuristics. - Jonas K. Falkner; Daniela Thyssens; Lars Schmidt-Thieme (CoRR, 2022)

Neural Capacitated Clustering. - Jonas K. Falkner; Lars Schmidt-Thieme (IJCAI, 2023)

Too Big, so Fail? - Enabling Neural Construction Methods to Solve Large-Scale Routing Problems. - Jonas K. Falkner; Lars Schmidt-Thieme (CoRR, 2023)

Routing Arena: A Benchmark Suite for Neural Routing Solvers. - Daniela Thyssens; Tim Dernedde; Jonas K. Falkner; Lars Schmidt-Thieme (CoRR, 2023)