A genetic algorithm for the vehicle routing problem with time windows

UNCW Author/Contributor (non-UNCW co-authors, if there are any, appear on document)
Lin Cheng (Creator)
The University of North Carolina Wilmington (UNCW )
Web Site: http://library.uncw.edu/
Yaw Chang

Abstract: The objective of the vehicle routing problem (VRP) is to deliver a set of customers with known demands on minimum-cost vehicle routes originating and terminating at the same depot. A vehicle routing problem with time windows (VRPTW) requires the delivery be made within a speci¯c time frame given by the customers. Prins (2004) recently proposed a simple and e®ective genetic algorithm (GA) for VRP. In terms of average solution cost, it outperforms most published tabu search results. We implement this hybrid GA to handle VRPTW. Both the implementation and computational results will be discussed.

Additional Information

A Thesis Submitted to the University of North Carolina Wilmington in Partial Ful¯llment Of the Requirements for the Degree of Master of Science
Language: English
Date: 2009
Genetic algorithms, Heuristic programming, Transportation problems (Programming)
Transportation problems (Programming)
Genetic algorithms
Heuristic programming