Skip to main navigation Skip to search Skip to main content

A lower bound for the adaptive two-echelon capacitated vehicle routing problem

  • Liang Song
  • , Hao Gu
  • , Hejiao Huang*
  • *Corresponding author for this work
  • Harbin Institute of Technology Shenzhen
  • Shenzhen Key Laboratory of Internet Information Collaboration

Research output: Contribution to journalArticlepeer-review

Abstract

Adaptive two-echelon capacitated vehicle routing problem (A2E-CVRP) proposed in this paper is a variant of the classical 2E-CVRP. Comparing to 2E-CVRP, A2E-CVRP has multiple depots and allows the vehicles to serve customers directly from the depots. Hence, it has more efficient solution and adapt to real-world environment. This paper gives a mathematical formulation for A2E-CVRP and derives a lower bound for it. The lower bound is used for deriving an upper bound subsequently, which is also an approximate solution of A2E-CVRP. Computational results on benchmark instances show that the A2E-CVRP outperforms the classical 2E-CVRP in the costs of routes.

Original languageEnglish
Pages (from-to)1145-1167
Number of pages23
JournalJournal of Combinatorial Optimization
Volume33
Issue number4
DOIs
StatePublished - 1 May 2017
Externally publishedYes

Keywords

  • Adaptive two-echelon capacitated vehicle routing problem
  • Lagrangian relaxation
  • Modern logistics

Fingerprint

Dive into the research topics of 'A lower bound for the adaptive two-echelon capacitated vehicle routing problem'. Together they form a unique fingerprint.

Cite this