American Institute of Mathematical Sciences

Advanced
2007, 2007(Special): 240-249. doi: 10.3934/proc.2007.2007.240

Solve the vehicle routing problem with time windows via a genetic algorithm

Yaw Chang 1, and  Lin Chen 1,

1. 

Mathematics and Statistics, University of North Carolina at Wilmington, 601 S. College Rd, Wilmington, NC 28403, United States, United States

Received  September 2006 Revised  June 2007 Published  September 2007

The objective of vehicle routing problem (VRP) is to deliver a set of customers with known demands on minimum-cost routes originating and terminating at the same depot. A vehicle routing problem with time windows (VRPTW) requires the delivery made in a specific time window given by the customers. Prins (2004) proposed a simple and effective genetic algorithm (GA) for VRP. In terms of average solution, it outperforms most published tabu search results. We implement this hybrid GA to handle VRPTW. Both the implementation and computation results will be discussed.
Keywords: vehicle routing problem, vehicle routing problem with time window, genetic algorithm..
Mathematics Subject Classification: Primary: 58F15, 58F17; Secondary: 53C3.
Citation: Yaw Chang, Lin Chen. Solve the vehicle routing problem with time windows via a genetic algorithm. Conference Publications, 2007, 2007 (Special) : 240-249. doi: 10.3934/proc.2007.2007.240
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