A fuzzy tabu search approach to solve a vehicle routing problem

A4 Conference proceedings


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Publication Details

List of Authors: Kaj-Mikael Björk, József Mezei
Publisher: Springer Berlin Heidelberg
Publication year: 2013
Book title: Advances in Computational Intelligence
Title of series: Lecture Notes in Computer Science
Volume number: 7902
Start page: 210
End page: 217
ISSN: 0302-9743


Abstract

In this paper, we develop a framework to solve a multi-objective fuzzy vehicle routing problem. The decision variables in the problem are found in the routing decisions and the determination of the pickup order for a set of loads and available trucks. The objective to minimize is both the total time and distance traveled by all the vehicles. The uncertainty in the model is inspired from a timber transportation context, where times are, and sometimes even distances, uncertain. Because of lack of statistical data the uncertainties are sometimes best described as fuzzy numbers. The model developed is solved with a tabu search method, allowing for the above mentioned uncertainties. Finally, the framework is also illustrated with a numerical example.

Last updated on 2019-19-10 at 02:55