A hybrid adaptive large neighborhood search algorithm for the large-scale heterogeneous container loading problem
作者：
Highlights：
• Investigated a large-scale heterogeneous container loading problem.
• Considered weight limits and suspension constraints in this problem.
• Integrated ALNS and heuristic packing algorithm for the presented problem.
• Performed experiments on real-world instances.
• Verified the superiority of HALNS by comparing with existing methods.
摘要
•Investigated a large-scale heterogeneous container loading problem.•Considered weight limits and suspension constraints in this problem.•Integrated ALNS and heuristic packing algorithm for the presented problem.•Performed experiments on real-world instances.•Verified the superiority of HALNS by comparing with existing methods.
论文关键词：Container loading problem,Hybrid adaptive large neighborhood search,Heuristic packing algorithm
论文评审过程：Received 24 May 2021, Revised 7 September 2021, Accepted 11 September 2021, Available online 18 October 2021, Version of Record 30 October 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115909
