A robust ant colony metaheuristic for urban freight transport scheduling using passenger rail network
作者：
Highlights：
• We address an urban freight transportation alternative using passenger rail network.
• We adapt three classic ACO variants to solve the problem.
• We develop a specific metaheuristic based on two classic ACO and some improvements.
• We set the metaheuristics’ parameters using Taguchi method.
• We evaluate metaheuristics’ performances on a large number of instances.
摘要
•We address an urban freight transportation alternative using passenger rail network.•We adapt three classic ACO variants to solve the problem.•We develop a specific metaheuristic based on two classic ACO and some improvements.•We set the metaheuristics’ parameters using Taguchi method.•We evaluate metaheuristics’ performances on a large number of instances.
论文关键词：Urban freight,Rail transport,Metaheuristic,Ant colony,Taguchi method
论文评审过程：Received 28 December 2021, Revised 14 September 2022, Accepted 23 September 2022, Available online 27 September 2022, Version of Record 7 October 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.118906
