An integrated CPU–GPU heuristic inspired on variable neighbourhood search for the single vehicle routing problem with deliveries and selective pickups

Autor: Ricardo Farias, Cristiana Bentes, Marcone Jamilson Freitas Souza, Luis Satoru Ochi, Pablo Luiz Araújo Munhoz, Igor Machado Coelho
Rok vydání: 2015
Předmět:
Zdroj: International Journal of Production Research. 54:945-962
ISSN: 1366-588X
0020-7543
DOI: 10.1080/00207543.2015.1035811
Popis: Environmental issues have become increasingly important to industry and business in recent days. This trend forces the companies to take responsibility for product recovery, and proper recycling and disposal, moving towards the design of sustainable green supply chains. This paper addresses the backward stream in transportation of products, by means of reverse logistics applied to vehicle routing. This problem, called single vehicle routing problem with deliveries and selective pickups, consists in finding a route that starts from the depot and visits all delivery customers. Some pickup customers may also be visited, since the capacity of the truck is not exceeded, and there is also a revenue associated with each pickup. We develop an algorithm inspired on the variable neighbourhood search metaheuristic that explores the power of modern graphics processing unit (GPU) to provide routes in reasonable computational time. The proposed algorithm called four-neighbourhood variable neighbourhood search (FN-VNS) ...
Databáze: OpenAIRE