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An New Estimation of Distribution Algorithm Based Edge Histogram Model for Flexible Job-Shop Problem

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Book cover Computer Science for Environmental Engineering and EcoInformatics (CSEEE 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 158))

Abstract

An estimation of distribution algorithm for flexible job shop scheduling problem was proposed. The probability model was given using frequency information of pair-wise operations neighboring. Then the structure of optimal individual was marked and the operations of optimal individual were partitioned to some independent sub-blocks. Each sub-block was taken as a whole to be adjusted to avoid repeating search in same area and improve search speed. The experimental results show that the proposed algorithm is efficient for Flexible Job-Shop Problems.

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References

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Author information

Authors and Affiliations

  1. College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China

    Xiaojuan He

  2. Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Taiyuan, China

    Xiaojuan He, Jianchao Zeng, Songdong Xue & Lifang Wang

Authors
  1. Xiaojuan He
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  2. Jianchao Zeng
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  3. Songdong Xue
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  4. Lifang Wang
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Editor information

Editors and Affiliations

  1. Dalian University of Technology, Dalian, China

    Yuanxu Yu

  2. Kunming University of Science and Technology, Kunming, China

    Zhengtao Yu

  3. International Association for Scientific and High Technology, Kunming, China

    Jingying Zhao

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© 2011 Springer-Verlag Berlin Heidelberg

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He, X., Zeng, J., Xue, S., Wang, L. (2011). An New Estimation of Distribution Algorithm Based Edge Histogram Model for Flexible Job-Shop Problem. In: Yu, Y., Yu, Z., Zhao, J. (eds) Computer Science for Environmental Engineering and EcoInformatics. CSEEE 2011. Communications in Computer and Information Science, vol 158. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22694-6_44

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  • DOI: https://doi.org/10.1007/978-3-642-22694-6_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22693-9

  • Online ISBN: 978-3-642-22694-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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