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Dynamic Scheduling Using Multiagent Architecture

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3214))

Abstract

A dynamic approach to truck scheduling using an intelligent distributed multi-agent architecture is presented. This paper presents an inherently distributed problem, the dynamic truck scheduling problem which has motivated the current study on an intelligent multi-agent architecture for optimal real time solutions. The .Net environment is critiqued for the proposed multi-agent architecture. A design and implementation of a prototype system is presented and some test results discussed. Possible future extensions to the system to cater for communication through hand-held devices for mobile agents required in the truck scheduling problem are also summarized.

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Author information

Authors and Affiliations

  1. School of Information Sciences and Engineering, University of Canberra, ACT, 2601, Australia

    Dharmendra Sharma & Dat Tran

Authors
  1. Dharmendra Sharma
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  2. Dat Tran
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Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2004 Springer-Verlag Berlin Heidelberg

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Sharma, D., Tran, D. (2004). Dynamic Scheduling Using Multiagent Architecture. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30133-2_62

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  • DOI: https://doi.org/10.1007/978-3-540-30133-2_62

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23206-3

  • Online ISBN: 978-3-540-30133-2

  • eBook Packages: Springer Book Archive

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