A tabu search algorithm for the vehicle routing problem with simultaneous pick-up and delivery service
A tabu search algorithm for the vehicle routing problem with simultaneous pick-up and delivery service
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DOI:
10.1016/j.cor.2004.07.009
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发表时间:
2006-03
期刊:
影响因子:
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通讯作者:
Fermín Alfredo Tang Montané;R. D. Galvão
中科院分区:
文献类型:
--
作者:
Fermín Alfredo Tang Montané;R. D. Galvão
The vehicle routing problem with simultaneous pick-up and delivery (VRP_SPD) is a variant of the classical vehicle routing problem (VRP) where clients require simultaneous pick-up and delivery service. Deliveries are supplied from a single depot at the beginning of the vehicle's service, while pick-up loads are taken to the same depot at the conclusion of the service. One important characteristic of this problem is that a vehicle's load in any given route is a mix of pick-up and delivery loads. In this paper we develop a tabu search algorithm to solve VRP_SPD. This algorithm uses three types of movements to obtain inter-route adjacent solutions: the relocation, interchange and crossover movements. A 2-opt procedure is used to obtain alternative intra-route solutions. Four types of neighbourhoods were implemented, three of them defined by the use of each of the single inter-route movements and the fourth by using a combination of these movements. Two different search strategies were implemented for selecting the next movement: first admissible movement and best admissible movement. Intensification and diversification of the search were achieved through frequency penalization. Computational results are reported for a set of 87 test problems with between 50 and 400 clients.