Abstract
We consider the vehicle routing problem with stochastic demands (VRPSD). We give randomized approximation algorithms achieving approximation guarantees of 1+α for split-delivery VRPSD, and 2+α for unsplit-delivery VRPSD; here α is the best approximation guarantee for the traveling salesman problem. These bounds match the best known for even the respective deterministic problems [Altinkemer, K., B. Gavish. 1987. Heuristics for unequal weight delivery problems with a fixed error guarantee. Oper. Res. Lett. 6(4) 149-158; Altinkemer, K., B. Gavish. 1990. Heuristics for delivery problems with constant error guarantees. Transportation Res. 24(4) 294-297]. We also show that the "cyclic heuristic" for split-delivery VRPSD achieves a constant approximation ratio, as conjectured in Bertsimas [Bertsimas, D. J. 1992. A vehicle routing problem with stochastic demand. Oper. Res. 40(3) 574-585].
Original language | English (US) |
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Pages (from-to) | 123-127 |
Number of pages | 5 |
Journal | Operations Research |
Volume | 60 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2012 |
Keywords
- Analysis of algorithms: suboptimal algorithms
- Networks/graphs: stochastic
- Transportation: vehicle routing
ASJC Scopus subject areas
- Computer Science Applications
- Management Science and Operations Research