Skip to main content

Research Repository

See what's under the surface

Advanced Search

Nature of real-world multi-objective vehicle routing with evolutionary algorithms

Castro-Gutierrez, Juan; Landa-Silva, Dario; Moreno Perez, Jose

Authors

Juan Castro-Gutierrez

Dario Landa-Silva

Jose Moreno Perez



Abstract

The Vehicle Routing Problem with Time Windows VRPTW) is an important logistics problem which in the realworld appears to be multi-objective. Most research in this area has been carried out using classic datasets designed for the single-objective case, like the well-known Solomon's problem instances. Some unrealistic assumptions are usually made when using these datasets in the multi-objective case (e.g. assuming that one unit of travel time corresponds to one unit of travel distance). Additionally, there is no common VRPTW multiobjective oriented framework to compare the performance of algorithms because different implementations in the literature tackle different sets of objectives. In this work, we investigate the conflicting (or not) nature of various objectives in the VRPTW and show that some of the classic test instances are not suitable for conducting a proper multi-objective study. The insights of this study have led us to generate some problem instances using d ata from a real-world distribution company. Experiments in these new dataset using a standard evolutionary algorithm NSGA-II) show stronger evidence of multi-objective features. Our contribution focuses on achieving a better understanding about the multi-objective nature of the VRPTW, in particular the conflicting relationships between 5 objectives: number of vehicles, total travel distance, makespan, total waiting time, and total delay time.

Publication Date Oct 1, 2011
Peer Reviewed Peer Reviewed
APA6 Citation Castro-Gutierrez, J., Landa-Silva, D., & Moreno Perez, J. (2011). Nature of real-world multi-objective vehicle routing with evolutionary algorithms
Keywords vehicle routing, multiobjective optimization, evolutionary algorithms, problem formulation, test problems
Publisher URL http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6083675
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information Copyright IEEE 2011.
doi: 10.1109/ICSMC.2011.6083675.

Files

IEEESMC2011.pdf (1.9 Mb)
PDF

Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





You might also like



Downloadable Citations

;