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Optimum Oil Production Planning using an Evolutionary Approach

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Evolutionary Scheduling

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

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References

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Author information

Authors and Affiliations

  1. 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. Tapabrata Ray
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  2. 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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Ray, T., Sarker, R. (2007). Optimum Oil Production Planning using an Evolutionary Approach. 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_10

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  • DOI: https://doi.org/10.1007/978-3-540-48584-1_10

  • 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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