Adaptive variable neighborhood search solution methods for the fleet size and mix pollution location-inventory-routing problem

作者：

Highlights：

• A new variant of the Pollution Location-Inventory-Routing Problem is introduced.

• General Variable Neighborhood Search-based algorithms are developed.

• New adaptive shaking methods are proposed.

• Managerial insights are drawn from numerical results.

摘要

•A new variant of the Pollution Location-Inventory-Routing Problem is introduced.•General Variable Neighborhood Search-based algorithms are developed.•New adaptive shaking methods are proposed.•Managerial insights are drawn from numerical results.

论文关键词：Green logistics optimization,Metaheuristics,Location,Inventory,Routing,Fleet composition

论文评审过程：Received 1 August 2019, Revised 6 April 2020, Accepted 6 April 2020, Available online 10 April 2020, Version of Record 14 April 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113444