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Fuzzy Due Dates Job Shop Scheduling Problem Based on Neural Network

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Advances in Neural Networks – ISNN 2005 (ISNN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3496))

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Abstract

A job shop scheduling problem with fuzzy due dates is discussed. The membership function of a fuzzy due date assigned to each job denotes the degree of satisfaction of a decision maker for the completion time of this job. The performance criterion of proposed problem is to maximize the minimum degree of satisfaction over given jobs, and it is an NP-complete problem. Thus artificial neural network is considered to search optimal jobs schedule.

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References

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Author information

Authors and Affiliations

  1. Department of Automation, Shanghai Jiaotong University, Postbox 280, Shanghai, 200030, China

    Yuan Xie, Jianying Xie & Jie Li

Authors
  1. Yuan Xie
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  2. Jianying Xie
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  3. Jie Li
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. The Key Laboratory of Optoelectric Technology & Systems, Ministry of Education, China

    Xiaofeng Liao

  3. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

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© 2005 Springer-Verlag Berlin Heidelberg

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Xie, Y., Xie, J., Li, J. (2005). Fuzzy Due Dates Job Shop Scheduling Problem Based on Neural Network. In: Wang, J., Liao, X., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427391_125

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  • DOI: https://doi.org/10.1007/11427391_125

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25912-1

  • Online ISBN: 978-3-540-32065-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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