Theory and Practice of Uncertain Programming

  • Baoding Liu

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 239)

Table of contents

  1. Front Matter
  2. Baoding Liu
    Pages 1-8
  3. Baoding Liu
    Pages 9-17
  4. Baoding Liu
    Pages 19-24
  5. Baoding Liu
    Pages 25-56
  6. Baoding Liu
    Pages 57-82
  7. Baoding Liu
    Pages 83-110
  8. Baoding Liu
    Pages 111-128
  9. Baoding Liu
    Pages 129-137
  10. Baoding Liu
    Pages 139-146
  11. Baoding Liu
    Pages 147-155
  12. Baoding Liu
    Pages 157-165
  13. Baoding Liu
    Pages 167-177
  14. Back Matter

About this book


Real-life decisions are usually made in the state of uncertainty such as randomness and fuzziness. How do we model optimization problems in uncertain environments? How do we solve these models? In order to answer these questions, this book provides a self-contained, comprehensive and up-to-date presentation of uncertain programming theory, including numerous modeling ideas, hybrid intelligent algorithms, and applications in system reliability design, project scheduling problem, vehicle routing problem, facility location problem, and machine scheduling problem. Researchers, practitioners and students in operations research, management science, information science, system science, and engineering will find this work a stimulating and useful reference.


algorithm algorithms design fuzziness fuzzy genetic algorithms mathematical programming model modeling neural network operations research optimization programming scheduling system

Authors and affiliations

  • Baoding Liu
    • 1
  1. 1.Tsinghua UniversityBeijingChina

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-540-89483-4
  • Online ISBN 978-3-540-89484-1
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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