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 language | English |
|---|---|
| Pages (from-to) | 1145-1167 |
| Number of pages | 23 |
| Journal | Journal of Combinatorial Optimization |
| Volume | 33 |
| Issue number | 4 |
| DOIs | |
| State | Published - 1 May 2017 |
| Externally published | Yes |
Keywords
- Adaptive two-echelon capacitated vehicle routing problem
- Lagrangian relaxation
- Modern logistics
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