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International Conference on Artificial Immune Systems

ICARIS 2003: Artificial Immune Systems pp 57–68Cite as

Immunologic Control Framework for Automated Material Handling

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2787))

Abstract

An Artificial Immune System (AIS) paradigm, which is an engineering analogue to the human immune system, is adopted to deliver the performance and robustness required by a multi-vehicle based delivery system in an automated warehouse. AIS offers a number of profound features and solutions, including the ability to detect changes, coordinate vehicle activities for goals achievement and adapt to new information encountered, to the control of such distributed material handling systems. By adopting some of these mechanisms of AIS adapted to specify and implement the behaviour of warehouse delivery vehicles, an architecture that defines the control framework is developed. This control framework improves the efficiency of a multi-agent system as demonstrated by computer simulations presented.

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Author information

Authors and Affiliations

  1. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, PRC

    Henry Y. K. Lau & Vicky W. K. Wong

Authors
  1. Henry Y. K. Lau
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  2. Vicky W. K. Wong
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Editor information

Editors and Affiliations

  1. Department of Electronics, University of York, YO10 5DD, Heslington, York, UK

    Jon Timmis

  2. Computer Science Department, University College London, London, UK

    Peter J. Bentley

  3. Napier University, Edinburgh, Scotland

    Emma Hart

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© 2003 Springer-Verlag Berlin Heidelberg

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Lau, H.Y.K., Wong, V.W.K. (2003). Immunologic Control Framework for Automated Material Handling. In: Timmis, J., Bentley, P.J., Hart, E. (eds) Artificial Immune Systems. ICARIS 2003. Lecture Notes in Computer Science, vol 2787. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45192-1_6

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  • DOI: https://doi.org/10.1007/978-3-540-45192-1_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40766-9

  • Online ISBN: 978-3-540-45192-1

  • eBook Packages: Springer Book Archive

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