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Investigating the Impact of Road Roughness on Routing Performance: An Evolutionary Algorithm Approach

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Artificial Intelligence and Soft Computing (ICAISC 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10841))

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Abstract

This paper investigates the use of evolutionary and other meta-heuristic algorithms for routing problems where vehicle operating cost (VOC) and specifically, road roughness, has a significant impact. Three algorithms were implemented, namely a greedy heuristic, simulated annealing and CMA-ES. Simulated annealing delivered statistically significant results and was used to evaluate routes with and without VOC.

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Acknowledgements

This work is based on the research supported wholly/in part by the National Research Foundation of South Africa (Grant Numbers 109273).

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Authors and Affiliations

  1. Department of Industrial and Systems Engineering, University of Pretoria, Pretoria, South Africa

    Hulda Viljoen & Jacomine Grobler

Authors
  1. Hulda Viljoen
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  2. Jacomine Grobler
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Corresponding author

Correspondence to Hulda Viljoen .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer

  3. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  4. University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  5. AGH University of Science and Technology, Kraków, Poland

    Ryszard Tadeusiewicz

  6. University of Louisville, Louisville, KY, USA

    Jacek M. Zurada

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Viljoen, H., Grobler, J. (2018). Investigating the Impact of Road Roughness on Routing Performance: An Evolutionary Algorithm Approach. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2018. Lecture Notes in Computer Science(), vol 10841. Springer, Cham. https://doi.org/10.1007/978-3-319-91253-0_53

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  • DOI: https://doi.org/10.1007/978-3-319-91253-0_53

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91252-3

  • Online ISBN: 978-3-319-91253-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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