Capacitated Arc Routing Problem
The Capacitated Arc Routing Problem often referred to as CARP is a mathematical problem that focuses on finding the shortest tour with a minimum graph/travel distance of a mixed graph with undirected edges and directed arcs given capacity constraints for objects that move along the graph that represent snow plowers, street sweeping machines, or winter gritters, or other real-world objects with capacity constraints. The constraint can be imposed for the length of time the vehicle is away from the central depot, or a total distance traveled, or a combination of the two with different weighting factors. There are many different variations of the CARP described in the book Arc Routing:Problems, Methods, and Applications by Ángel Corberán and Gilbert Laporte.[1]
Solving the CARP involves the study of graph theory, arc routing, operations research, and geographical routing algorithms to find the shortest path efficiently.
The CARP is NP-hard arc routing problem.
The CARP can be solved with combinatorial optimization including convex hulls.
The Large Scale Capacitated Arc Routing Problem/LSCARP is a variant of the Capacitated Arc Routing Problem that applies to hundreds of edges and nodes to realistically simulate and model large complex environments.[2]
References
- ↑ Prins, Christian (2015-02-05), "Chapter 7: The Capacitated Arc Routing Problem: Heuristics", Arc Routing, MOS-SIAM Series on Optimization (Society for Industrial and Applied Mathematics): pp. 131–157, doi:10.1137/1.9781611973679.ch7, ISBN 978-1-61197-366-2, https://epubs.siam.org/doi/abs/10.1137/1.9781611973679.ch7, retrieved 2022-07-14
- ↑ Mei, Yi; Li, Xiaodong; Yao, Xin (June 2014). "Cooperative Coevolution With Route Distance Grouping for Large-Scale Capacitated Arc Routing Problems". IEEE Transactions on Evolutionary Computation 18 (3): 435–449. doi:10.1109/TEVC.2013.2281503. ISSN 1089-778X. http://ieeexplore.ieee.org/document/6595573/.
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