2 citations · 5 across the 5 of their papers we have counts for
5 papers
Routing Arena: A Benchmark Suite for Neural Routing Solvers
Daniela Thyssens, Tim Dernedde, Jonas K. Falkner +1
Neural Combinatorial Optimization has been researched actively in the last eight years. Even though many of the proposed Machine Learning based approaches are compared on the same…
Too Big, so Fail? -- Enabling Neural Construction Methods to Solve Large-Scale Routing Problems
Jonas K. Falkner, Lars Schmidt-Thieme
In recent years new deep learning approaches to solve combinatorial optimization problems, in particular NP-hard Vehicle Routing Problems (VRP), have been proposed. The most impact…
Neural Capacitated Clustering
Jonas K. Falkner, Lars Schmidt-Thieme
Recent work on deep clustering has found new promising methods also for constrained clustering problems. Their typically pairwise constraints often can be used to guide the partiti…
Attention, Filling in The Gaps for Generalization in Routing Problems
Ahmad Bdeir, Jonas K. Falkner, Lars Schmidt-Thieme
Machine Learning (ML) methods have become a useful tool for tackling vehicle routing problems, either in combination with popular heuristics or as standalone models. However, curre…
Solving the Traveling Salesperson Problem with Precedence Constraints by Deep Reinforcement Learning
Christian Löwens, Inaam Ashraf, Alexander Gembus +3
This work presents solutions to the Traveling Salesperson Problem with precedence constraints (TSPPC) using Deep Reinforcement Learning (DRL) by adapting recent approaches that wor…