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A Scenario-based Evolutionary Scheduling Approach for Assessing Future Supply Chain Fleet Capabilities

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Evolutionary Scheduling

Part of the book series: Studies in Computational Intelligence ((SCI,volume 49))

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Author information

Authors and Affiliations

  1. Land Operations Division, Defence Science and Technology Organization, 1500, SA 5111, Edinburgh, Australia

    Stephen Baker

  2. Land Operations Division, Defence Science and Technology Organization, 1500, SA 5111, Edinburgh, Australia

    Axel Bender

  3. Defence and Security Applications Research Centre, University of New South Wales, Australian Defence Force Academy, ACT 2600, Canberra, Australia

    Hussein Abbass

  4. School of Information Technology and Electrical Engineering, University of New South Wales at the Australian Defence Force Academy, Northcott Drive, 2600, Canberra, Australia

    Ruhul Sarker

Authors
  1. Stephen Baker
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  2. Axel Bender
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  3. Hussein Abbass
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  4. Ruhul Sarker
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Editor information

Editors and Affiliations

  1. Modeling Optimisation Scheduling and Intelligent Control (MOSAIC), Research Centre, Department of Computing, University of Bradford, West Yorkshire, BD7 1DP, Bradford, UK

    Keshav P. Dahal

  2. Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, Singapore

    Kay Chen Tan

  3. Modeling Optimisation Scheduling and Intelligent Control (MOSAIC), Research Centre, Department of Computing, University of Bradford, West Yorkshire, BD7 1DP, Bradford, UK

    Peter I. Cowling

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© 2007 Springer-Verlag Berlin Heidelberg

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Baker, S., Bender, A., Abbass, H., Sarker, R. (2007). A Scenario-based Evolutionary Scheduling Approach for Assessing Future Supply Chain Fleet Capabilities. In: Dahal, K.P., Tan, K.C., Cowling, P.I. (eds) Evolutionary Scheduling. Studies in Computational Intelligence, vol 49. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48584-1_18

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  • DOI: https://doi.org/10.1007/978-3-540-48584-1_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-48582-7

  • Online ISBN: 978-3-540-48584-1

  • eBook Packages: EngineeringEngineering (R0)

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