The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Classical and modern heuristics for the vehicle routing problem
Abstract
Abstract This article is a survey of heuristics for the Vehicle Routing Problem . It is divided into two parts: classical and modern heuristics. The first part contains well‐known schemes such as, the savings method, the sweep algorithm and various two‐phase approaches. The second part is devoted to tabu search heuristics which have proved to be the most successful metaheuristic approach. Comparative computational results are presented.
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Cites
Glover, F., & Laguna, M. (1997) · doi:10.1007/978-1-4615-6089-0 · Cited by 3,001
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Ajagekar, A., Humble, T., & You, F. (2020) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2019.106630 · Cited by 191
“Heuristic and metaheuristic algorithms can be directly applied to several variants of the vehicle routing problem [41, 72], but such techniques are context dependent and require careful parameter tuning to obtain good-quality solutions [73, 74].”
MethodEconomic assessment of biodiesel production from waste frying oils
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Metadata
- Authors
- Laporte, G.
- Venue
- International Transactions in Operational Research
- Publisher
- Wiley
- Published
- 2000-09-01
- Volume
- 7
- Issue
- 4-5
- Pages
- 285-300
- ISSN
- 0969-6016 (ISSN-L)
- OpenAlex
- W2114939271
- Cited by
- 759
- References
- 1
- FWCI
- 47.78
- Type
- journal article
- Language
- en
- Open access
- closed
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- Laporte, G. (2000). Classical and modern heuristics for the vehicle routing problem. International Transactions in Operational Research. https://doi.org/10.1016/s0969-6016(00)00003-4
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
