Optimizing container relocation operations at container yards with beam search

Container relocation problem (CRP) involves the retrieval of all containers from the container yard with a minimum number of relocations. The CRP is an NP-hard problem such that the large-scale instances cannot be solved to optimality by exact solution methods within a reasonable computational time. This article proposes a beam search (BS) algorithm embedded with heuristics to evaluate the problems. The proposed beam search is tested on benchmark instances and compared with other leading heuristics from the literature. Computational results demonstrate that the beam search algorithm is compatible with other heuristics and can obtain good solutions in short time.

• Record URL:
  https://doi.org/10.1016/j.tre.2017.04.010
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1366554516308134
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
• Supplemental Notes:
  • Abstract reprinted with permission of Elsevier.
• Authors:
  • Ting, Ching-Jung
  • Wu, Kun-Chih
• Publication Date: 2017-7

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 17-31
• Serial:
  • Transportation Research Part E: Logistics and Transportation Review
  • Volume: 103
  • Publisher: Elsevier
  • ISSN: 1366-5545
  • Serial URL: http://www.sciencedirect.com/science/journal/13665545

Subject/Index Terms

• TRT Terms: Algorithms; Container handling; Container terminals; Optimization; Relocation (Facilities); Terminal operations
• Subject Areas: Freight Transportation; Operations and Traffic Management; Terminals and Facilities;

Filing Info

• Accession Number: 01638694
• Record Type: Publication
• Files: TRIS
• Created Date: May 31 2017 4:07PM