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A Domain-Specific Language For Routing Problems

Hoffmann, Benjamin; Guckert, Michael; Farrenkopf, Thomas; Chalmers, Kevin; Urquhart, Neil

Authors

Michael Guckert

Thomas Farrenkopf

Kevin Chalmers



Contributors

Lars Nolle
Editor

Alexandra Burger
Editor

Christoph Tholen
Editor

Jens Werner
Editor

Jens Wellhausen
Editor

Abstract

Vehicle Routing Problems (VRPs) are commonly used as benchmark optimisation problems and they also have many applications in industry. Using agent-based approaches to solve VRPs allows the analysis of dynamic VRP instances that incorporate congestion effects. By using a domain-specific language as part of a model-driven approach, routing problems can be modelled in an abstract form that does not contain implementation and other technical details. With such a tool domain experts can concentrate on the actual modelling task without being distracted by low-level intricacies. We present the DSL Athos in which computational and platform independent routing problems can be defined. The DSL offers an efficient way to model problems with seamless integration of established optimisation methods. Generators create executable code for several agent based platforms. Proof of concept is given by applying the tools to the Oliver 30 TSP and an instance of a dynamic TSP.

Citation

Hoffmann, B., Guckert, M., Farrenkopf, T., Chalmers, K., & Urquhart, N. (2018, May). A Domain-Specific Language For Routing Problems. Presented at 32nd Conference on Modelling and Simulation

Presentation Conference Type Conference Paper (published)
Conference Name 32nd Conference on Modelling and Simulation
Start Date May 22, 2018
End Date May 25, 2018
Acceptance Date Mar 9, 2018
Online Publication Date Jul 12, 2018
Publication Date May 25, 2018
Deposit Date Apr 10, 2018
Publicly Available Date Apr 11, 2018
Publisher European Council for Modelling and Simulation
Series Title Conference Proceedings
Series ISSN 2522-2414
Book Title Proceedings of the 32nd EUROPEAN CONFERENCE ON MODELLING AND SIMULATION
ISBN 9780993244063
DOI https://doi.org/10.7148/2018-0262
Public URL http://researchrepository.napier.ac.uk/Output/1148980
Contract Date Apr 10, 2018

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