Publicado

2017-07-01

Un Algoritmo GRASP híbrido para el 2eCVRP

A hybrid GRASP algorithm for 2eCVRP

Palabras clave:

ruteo de vehículos, dos escalones, metaheurísticas, GRASP, recocido simulado (es)
vehicle routing, two-echelon, metaheuristics, GRASP, simulated annealing (en)

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Avances recientes en la investigación de problemas de ruteo, han abordado extensiones del clásico Problema de Ruteo de Vehículos (VRP), como lo es el Problema de Ruteo de Vehículos de Dos Escalones (2E-CVRP), en el cual se aborda el diseño de rutas en una cadena de suministro de dos escalones. El primero de ellos que conecta la carga desde un depósito central hasta su consolidación en depósitos intermedios denominados satélites, y el segundo que enlaza la carga de los satélites con el cliente final. Para la solución del 2E-CVRP se optó por implementar un híbrido metaheurístico, la primera técnica denominada GRASP se enfoca en la formación de una solución inicial; para dar lugar al segundo método, designado como recocido simulado, en el que por medio de los operadores 2-opt, Or-Opt y Exchange, se intensifica la búsqueda de mejora de la solución inicial. Este algoritmo presenta buenos resultados para casos propuestos de la literatura.
Recent advances in the investigation of routing problems, have allowed to give with extensions of the classic Vehicle Routing Problem (VRP), such as the Two-Echelon Vehicle Routing Problem (2E-CVRP), in which the aim is routes design in two echelon supply chain. The first one that connects the load from a central depot to its consolidation in intermediate deposits called satellites, and the second that links the load of the satellites with the final customer. For the solution of the 2E-CVRP was opted to implement a metaheuristic hybrid, the first technique called GRASP focuses on the formation of an initial solution; to give rise to the second method designated as simulated annealing, in which the inquisition for improvement of the initial solution is intensified by means of the 2-opt, Or-opt and Exchange operators. This algorithm shows goods results for instances of literature.

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