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Constantino, M., Gouveia, L., Mourão, M. C. & Nunes, A. C. (2015). The mixed capacitated arc routing problem with non-overlapping routes. European Journal of Operational Research. 244 (2), 445-456

M. F. Constantino et al.,  "The mixed capacitated arc routing problem with non-overlapping routes", in European Journal of Operational Research, vol. 244, no. 2, pp. 445-456, 2015

@article{constantino2015_1714985223678,
	author = "Constantino, M. and Gouveia, L. and Mourão, M. C. and Nunes, A. C.",
	title = "The mixed capacitated arc routing problem with non-overlapping routes",
	journal = "European Journal of Operational Research",
	year = "2015",
	volume = "244",
	number = "2",
	doi = "10.1016/j.ejor.2015.01.042",
	pages = "445-456",
	url = "http://www.sciencedirect.com/science/article/pii/S0377221715000624"
}

TY  - JOUR
TI  - The mixed capacitated arc routing problem with non-overlapping routes
T2  - European Journal of Operational Research
VL  - 244
IS  - 2
AU  - Constantino, M.
AU  - Gouveia, L.
AU  - Mourão, M. C.
AU  - Nunes, A. C.
PY  - 2015
SP  - 445-456
SN  - 0377-2217
DO  - 10.1016/j.ejor.2015.01.042
UR  - http://www.sciencedirect.com/science/article/pii/S0377221715000624
AB  - Real world applications for vehicle collection or delivery along streets usually lead to arc routing problems, with additional and complicating constraints. In this paper we focus on arc routing with an additional constraint to identify vehicle service routes with a limited number of shared nodes, i.e. vehicle service routes with a limited number of intersections. This constraint leads to solutions that are better shaped for real application purposes. We propose a new problem, the bounded overlapping MCARP (BCARP), which is defined as the mixed capacitated arc routing problem (MCARP) with an additional constraint imposing an upper bound on the number of nodes that are common to different routes. The best feasible upper bound is obtained from a modified MCARP in which the minimization criteria is given by the overlapping of the routes. We show how to compute this bound by solving a simpler problem. To obtain feasible solutions for the bigger instances of the KARP heuristics are also proposed. Computational results taken from two well known instance sets show that, with only a small increase in total time traveled, the model BCARP produces solutions that are more attractive to implement in practice than those produced by the MCARP model
ER  -