Abstract
Vehicle routing problems (VRP) [72, 50, 186] represent one of the most investigated combinatorial optimization problems [134], due to the problem complexity and their potential impact on real-world applications especially in logistics and supply chains. The basic VRP involves constructing a set of closed routes from and to a depot, each serviced by a vehicle of certain capacity. In each route, a vehicle delivers the required demand in an ordered list of tasks for customers. The objective is to minimize the total distance, satisfying the capacity for all customers on each route. In some problem variants the number of vehicles used is also minimized. More details of the problem models and benchmark datasets are given in Appendix B.3.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Pillay, N., Qu, R. (2018). Vehicle Routing Problems. In: Hyper-Heuristics: Theory and Applications. Natural Computing Series. Springer, Cham. https://doi.org/10.1007/978-3-319-96514-7_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-96514-7_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-96513-0
Online ISBN: 978-3-319-96514-7
eBook Packages: Computer ScienceComputer Science (R0)