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Application of Fuzzy Logic and Genetic Algorithms in Automated Works Transport Organization

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Distributed Computing and Artificial Intelligence, 14th International Conference (DCAI 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 620))

Abstract

The paper deals with the problem of works transport organization and control by artificial intelligence with respect to path routing for an automated guided vehicle (AGV). The presented approach is based on non-changeable path during travel along a given loop. The ordered set of stations requesting transport service was determined by fuzzy logic, while the sequence of stations in a loop was optimized by genetic algorithms. A solution for both AGV’s and semi-autonomous transport vehicles wherein the control system informs the driver about optimal route was presented. The obtained solution was verified by a computer simulation.

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Author information

Authors and Affiliations

  1. Institute of Technological Systems of Information, Faculty of Mechanical Engineering, Lublin University of Technology, Lublin, Poland

    Arkadiusz Gola

  2. Department of Enterprise Organization, Faculty of Management, Lublin University of Technology, Lublin, Poland

    Grzegorz Kłosowski

Authors
  1. Arkadiusz Gola
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  2. Grzegorz Kłosowski
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Corresponding author

Correspondence to Arkadiusz Gola .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, Department of Electronics, Information and Communication Engineering , Osaka Institute of Technology, Osaka, Osaka, Japan

    Sigeru Omatu

  2. Departamento de Informática y Automática, Facultad de Ciencias, Universidad de Salamanca , Salamanca, Spain

    Sara Rodríguez

  3. Departamento de Informática y Automática, Facultad de Ciencias, Universidad de Salamanca, Salamanca, Spain

    Gabriel Villarrubia

  4. GECAD - Instituto Superior de Engenharia, Porto, Portugal

    Pedro Faria

  5. Department of Control and Management Systems, Kielce University of Technology, Faculty of Electrical Engineering and Computer Science, Kielce, Poland

    Paweł Sitek

  6. Departamento de Informática y Automática, Universidad de Salamanca, Salamanca, Spain

    Javier Prieto

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Gola, A., Kłosowski, G. (2018). Application of Fuzzy Logic and Genetic Algorithms in Automated Works Transport Organization. In: Omatu, S., Rodríguez, S., Villarrubia, G., Faria, P., Sitek, P., Prieto, J. (eds) Distributed Computing and Artificial Intelligence, 14th International Conference. DCAI 2017. Advances in Intelligent Systems and Computing, vol 620. Springer, Cham. https://doi.org/10.1007/978-3-319-62410-5_4

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  • DOI: https://doi.org/10.1007/978-3-319-62410-5_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62409-9

  • Online ISBN: 978-3-319-62410-5

  • eBook Packages: EngineeringEngineering (R0)

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