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Intelligent Modeling and Control for Autonomous Logistics

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Advances in Intelligent Modelling and Simulation

Part of the book series: Studies in Computational Intelligence ((SCI,volume 422))

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Abstract

The increasing complexity of logistic networks calls for a paradigm change in their modeling and operations. Centralized control is no longer a feasible option when dealing with extremely large systems. For this reason, decentralized autonomous systems are gaining popularity in providing robustness and scalability. This chapter focuses on the use of intelligent systems in autonomous logistics. Specifically, it describes issues related to knowledge management, a machine learning-based approach to adaptability and planning, and intelligent optimization by autonomous logistics entities.

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Author information

Authors and Affiliations

  1. Machine Learning and Inference Laboratory, George Mason University, Fairfax, VA, USA

    Janusz Wojtusiak

  2. Center for Computing and Communication Technologies, Universität Bremen, Bremen, Germany

    Tobias Warden & Otthein Herzog

Authors
  1. Tobias Warden
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  2. Janusz Wojtusiak
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  3. Otthein Herzog
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Corresponding author

Correspondence to Tobias Warden .

Editor information

Editors and Affiliations

  1. Institute of Computer Science, Cracow University of Technology, ul. Warszawska 24, Cracow, 31-155, Poland

    Joanna Kołodziej

  2. , Department of Electrical and Computer, North Dakota State University, Fargo, 58108-6050, USA

    Samee Ullah Khan

  3. Department of Computer Science, Cracow University of Technology, ul. Warszawska 24, Cracow, 31-155, Poland

    Tadeusz Burczy´nski

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© 2012 Springer-Verlag Berlin Heidelberg

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Warden, T., Wojtusiak, J., Herzog, O. (2012). Intelligent Modeling and Control for Autonomous Logistics. In: Kołodziej, J., Khan, S., Burczy´nski, T. (eds) Advances in Intelligent Modelling and Simulation. Studies in Computational Intelligence, vol 422. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30154-4_13

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  • DOI: https://doi.org/10.1007/978-3-642-30154-4_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30153-7

  • Online ISBN: 978-3-642-30154-4

  • eBook Packages: EngineeringEngineering (R0)

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