Transportation problems for intermodal networks: Mathematical models, exact and heuristic algorithms, and machine learning
作者：
Highlights：
• The paper focuses on a pick-up routing problem with a three-dimensional (3D-PRP) loading constraint.
• The paper combines genetic algorithm for pick-up routing with machine learning for three-dimensional loading problem.
• K-means algorithm is developed for clustering phase.
• The paper includes four expert systems.
• Results of a real dataset are highly promising.
摘要
•The paper focuses on a pick-up routing problem with a three-dimensional (3D-PRP) loading constraint.•The paper combines genetic algorithm for pick-up routing with machine learning for three-dimensional loading problem.•K-means algorithm is developed for clustering phase.•The paper includes four expert systems.•Results of a real dataset are highly promising.
论文关键词：Intermodal transportation,Pick-up routing with three-dimensional loading,Train loading,Heuristic approach,Mathematical model, Machine learning
论文评审过程：Received 17 November 2018, Revised 28 March 2019, Accepted 11 June 2019, Available online 13 June 2019, Version of Record 20 June 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.06.023
