The Capacitated Arc Routing Problem. A heuristic algorithm.

Benavent, Enrique., et al. "The Capacitated Arc Routing Problem. A heuristic algorithm.." Qüestiió 14.1-2-3 (1990): 107-122. <http://eudml.org/doc/40301>.

@article{Benavent1990,
abstract = {In this paper we consider the Capacitated Arc Routing Problem, in which a fleet of K vehicles, all of them based on a specific vertex (the depot) and with a known capacity Q, must service a subset of the edges of the graph, with minimum total cost and such that the load assigned to each vehicle does not exceed its capacity.A heuristic algorithm for this problem is proposed consisting of: the selection of K centers, the construction of K connected graphs with associated loads not exceeding the vehicle capacities, the resolution of a General Assignment Problem, if necessary, to get a complete assignment of edges to vehicles and finally the construction of the routes by solving heuristically a Rural Postman Problem for each vehicle. Computational results on graphs up to 50 vertices and 97 edges are included. On average, the feasible solution is within 6,4% of the best known lower bound.},
author = {Benavent, Enrique., Campos, V., Corberán, Angel, Mota, Enrique},
journal = {Qüestiió},
keywords = {Heurística; Optimización de trayectorias; Problema del viajante; Problemas de rutas de vehículos; distribution; heuristics; routing},
language = {eng},
number = {1-2-3},
pages = {107-122},
title = {The Capacitated Arc Routing Problem. A heuristic algorithm.},
url = {http://eudml.org/doc/40301},
volume = {14},
year = {1990},
}

TY - JOUR
AU - Benavent, Enrique.
AU - Campos, V.
AU - Corberán, Angel
AU - Mota, Enrique
TI - The Capacitated Arc Routing Problem. A heuristic algorithm.
JO - Qüestiió
PY - 1990
VL - 14
IS - 1-2-3
SP - 107
EP - 122
AB - In this paper we consider the Capacitated Arc Routing Problem, in which a fleet of K vehicles, all of them based on a specific vertex (the depot) and with a known capacity Q, must service a subset of the edges of the graph, with minimum total cost and such that the load assigned to each vehicle does not exceed its capacity.A heuristic algorithm for this problem is proposed consisting of: the selection of K centers, the construction of K connected graphs with associated loads not exceeding the vehicle capacities, the resolution of a General Assignment Problem, if necessary, to get a complete assignment of edges to vehicles and finally the construction of the routes by solving heuristically a Rural Postman Problem for each vehicle. Computational results on graphs up to 50 vertices and 97 edges are included. On average, the feasible solution is within 6,4% of the best known lower bound.
LA - eng
KW - Heurística; Optimización de trayectorias; Problema del viajante; Problemas de rutas de vehículos; distribution; heuristics; routing
UR - http://eudml.org/doc/40301
ER -