The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
A Hybrid Genetic Algorithm for Multidepot and Periodic Vehicle Routing Problems
Abstract
We propose an algorithmic framework that successfully addresses three vehicle routing problems: the multidepot VRP, the periodic VRP, and the multidepot periodic VRP with capacitated vehicles and constrained route duration. The metaheuristic combines the exploration breadth of population-based evolutionary search, the aggressive-improvement capabilities of neighborhood-based metaheuristics, and advanced population-diversity management schemes. Extensive computational experiments show that the method performs impressively in terms of computational efficiency and solution quality, identifying either the best known solutions, including the optimal ones, or new best solutions for all currently available benchmark instances for the three problem classes. The proposed method also proves extremely competitive for the capacitated VRP.
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Holland, J. H. (1992) · The MIT Press eBooks · doi:10.7551/mitpress/1090.001.0001 · Cited by 47,002
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Completely Derandomized Self-Adaptation in Evolution Strategies
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Scheduling of Vehicles from a Central Depot to a Number of Delivery Points
Clarke, G., & Wright, J. W. (1964) · Operations Research · doi:10.1287/opre.12.4.568 · Cited by 3,894
The Vehicle Routing Problem: Latest Advances and New Challenges
(2008) · Operations Research/Computer Science Interfaces · doi:10.1007/978-0-387-77778-8 · Cited by 1,483
A general heuristic for vehicle routing problems
Pisinger, D., & Ropke, S. (2007) · Computers & Operations Research · doi:10.1016/j.cor.2005.09.012 · Cited by 1,443
A Tabu Search Heuristic for the Vehicle Routing Problem
Michel Gendreau, A., Hertz, A., & Gilbert Laporte, A. (1994) · Management Science · doi:10.1287/mnsc.40.10.1276 · Cited by 1,303
Vehicle Routing Problem with Time Windows, Part I: Route Construction and Local Search Algorithms
Bräysy, O., & Gendreau, M. (2005) · Transportation Science · doi:10.1287/trsc.1030.0056 · Cited by 1,135
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Metadata
- Authors
- Vidal, T., Crainic, T. G., Gendreau, M., Lahrichi, N., & Rei, W.
- Venue
- Operations Research
- Published
- 2012-06
- Volume
- 60
- Issue
- 3
- Pages
- 611-624
- ISSN
- 0030-364X (ISSN-L)
- 1526-5463
- OpenAlex
- W2119601963
- Cited by
- 709
- References
- 33
- FWCI
- 88.94
- Type
- journal article
- Language
- en
- Open access
- closed
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- Vidal, T., Crainic, T. G., Gendreau, M., Lahrichi, N., & Rei, W. (2012). A Hybrid Genetic Algorithm for Multidepot and Periodic Vehicle Routing Problems. Operations Research. https://doi.org/10.1287/opre.1120.1048
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