How to Evaluate Machine Learning Approaches for Combinatorial Optimization: Application to the Travelling Salesman Problem

28 September 2019

Papers citing "How to Evaluate Machine Learning Approaches for Combinatorial Optimization: Application to the Travelling Salesman Problem"

6 / 6 papers shown

Title
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives Xuan Wu Di Wang Lijie Wen Yubin Xiao Chunguo Wu Yuesong Wu Chaoyu Yu D. Maskell You Zhou 70 6 0 01 Jun 2024
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness Simon Geisler Johanna Sommer Jan Schuchardt Aleksandar Bojchevski Stephan Günnemann AAML 17 39 0 21 Oct 2021
An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem Bingjie Li Guohua Wu Yongming He Mingfeng Fan Witold Pedrycz 64 67 0 15 Jul 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 32 347 0 18 Feb 2021
Learning Vehicle Routing Problems using Policy Optimisation N. Sultana Jeffrey Chan •. A. K. Qin Tabinda Sarwar 19 4 0 24 Dec 2020
Learning the Travelling Salesperson Problem Requires Rethinking Generalization Chaitanya K. Joshi Quentin Cappart Louis-Martin Rousseau T. Laurent 21 108 0 12 Jun 2020