Automating the Parameter Selection in VRP: An Off-line Parameter Tuning Tool Comparison

  • Jussi Rasku
  • Nysret Musliu
  • Tommi Kärkkäinen
Part of the Computational Methods in Applied Sciences book series (COMPUTMETHODS, volume 34)


Vehicle route optimization is an important application of combinatorial optimization. Therefore, a variety of methods has been proposed to solve different challenging vehicle routing problems. An important step in adopting these methods to solve real-life problems is to find appropriate parameters for the routing algorithms. In this chapter, we show how this task can be automated using parameter tuning by presenting a set of comparative experiments on seven state-of-the-art tuning methods. We analyze the suitability of these methods in configuring routing algorithms, and give the first critical comparison of automated parameter tuners in vehicle routing. Our experimental results show that the tuning methods are able to effectively automate the task of parameter configuration of route optimization systems. Moreover, our comparison shows that while routing algorithms clearly benefit from parameter tuning, and while there is no single tuner which consistently outperforms others, the tuning performance can be clearly improved with careful choice of a tuning method.


Travel Salesman Problem Parameter Configuration Vehicle Rout Problem Iterate Local Search Tuning Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



Support from colleagues from the Research Group on Computational Logistics of Department of Mathematical Information Technology (University of Jyväskylä) is gratefully acknowledged. Office for Jussi Rasku at University Consortium of Seinäjoki researcher residency was supported by European Regional Development Fund (ERDF): A31342. Nysret Musliu was supported by the Austrian Science Fund (FWF): P24814-N23. Tommi Kärkkäinen was supported by a research grant of Jenny and Antti Wihuri Foundation.


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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Jussi Rasku
    • 1
  • Nysret Musliu
    • 2
  • Tommi Kärkkäinen
    • 1
  1. 1.Department of Mathematical Information TechnologyUniversity of JyväskyläJyväskyläFinland
  2. 2.Institute of Information SystemsVienna University of TechnologyViennaAustria

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