On automatic algorithm configuration of vehicle routing problem solvers
Rasku, J., Musliu, N., & Kärkkäinen, T. (2019). On automatic algorithm configuration of vehicle routing problem solvers. In J. Rasku (Ed.), Toward automatic customization of vehicle routing systems (2, pp. 1-22). Springer. Journal on Vehicle Routing Algorithms. https://doi.org/10.1007/s41604-019-00010-9
Published inJournal on Vehicle Routing Algorithms
© 2019 the Author(s)
Many of the algorithms for solving vehicle routing problems expose parameters that strongly influence the quality of obtained solutions and the performance of the algorithm. Finding good values for these parameters is a tedious task that requires experimentation and experience. Therefore, methods that automate the process of algorithm configuration have received growing attention. In this paper, we present a comprehensive study to critically evaluate and compare the capabilities and suitability of seven state-of-the-art methods in configuring vehicle routing metaheuristics. The configuration target is the solution quality of eight metaheuristics solving two vehicle routing problem variants. We show that the automatic algorithm configuration methods find good parameters for the vehicle route optimization metaheuristics and clearly improve the solutions obtained over default parameters. Our comparison shows that despite some observable differences in configured performance there is no single configuration method that always outperforms the others. However, largest gains in performance can be made by carefully selecting the right configurator. The findings of this paper may give insights on how to effectively choose and extend automatic parameter configuration methods and how to use them to improve vehicle routing solver performance. ...
Parent publication ISBN978-951-39-7826-6
Is part of publicationToward automatic customization of vehicle routing systems
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Additional information about fundingOpen access funding provided by University of Jyväskylä (JYU). The financial support by the Austrian Federal Ministry for Digital and Economic Affairs and the National Foundation for Research, Technology and Development for Nyset Musliu is gratefully acknowledged.
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