DocumentCode
2918686
Title
Ant Colony System Algorithm for the Vehicle Routing Problem with Simultaneous Delivery and Pick-Up
Author
Cabrera G, G. ; Peralta, Felipe
Author_Institution
Inf. Eng. Sch., Pontificia Univ. Catolica de Valparaiso, Valparaiso, Chile
fYear
2009
fDate
24-26 Nov. 2009
Firstpage
1575
Lastpage
1580
Abstract
Due to the increased demands for distribution/redistribution, recycling and repacking, there has been a significant change in the logistics process. This article presented an ant colony system (ACS) algorithm to solve a vehicle routing problem with simultaneous delivery and pick-up (VRPSDP). The objective of this problem is to determine the optimal set of routes to totally satisfy both the delivery and pick-up demand of the customer population. To solve the VRPSDP model, ACS approach is based in the pheromone strategy, inspired in the natural Ants behavior. This behavior is assigned to vehicles, which move along the route on which the pheromone intensity is strong. The ACS algorithm provides good solutions and shows that it is a competitive method related with other heuristics or meta-heuristics that have been proposed in literature.
Keywords
goods distribution; logistics; optimisation; transportation; vehicles; ant colony system algorithm; customer population; distribution/redistribution; logistics process; natural ants behavior; pheromone intensity; pheromone strategy; recycling; repacking; simultaneous delivery and pick-up; vehicle routing problem; Automotive engineering; Distributed computing; Informatics; Information technology; Libraries; Logistics; Partitioning algorithms; Recycling; Routing; Vehicles; Ant Colony Systems (ACS); Vehicle Routing Problem with Simultaneous Pick-up and Delivery (VRPSDP); logistics process;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Sciences and Convergence Information Technology, 2009. ICCIT '09. Fourth International Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4244-5244-6
Electronic_ISBN
978-0-7695-3896-9
Type
conf
DOI
10.1109/ICCIT.2009.264
Filename
5369505
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