Constraint Programming and Decision Making: Theory and Applications

  • Martine Ceberio
  • Vladik Kreinovich

Part of the Studies in Systems, Decision and Control book series (SSDC, volume 100)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Chitta Baral, Olac Fuentes, Vladik Kreinovich
    Pages 1-5
  3. Stefano Bistarelli, Martine Ceberio, Joel A. Henderson, Francesco Santini
    Pages 7-19
  4. Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
    Pages 21-25
  5. Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
    Pages 27-32
  6. Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
    Pages 33-37
  7. Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
    Pages 39-44
  8. Juan Carlos Figueroa-García, Martine Ceberio, Vladik Kreinovich
    Pages 51-54
  9. Juan Carlos Figueroa-García, Germán Hernández-Pérez, Dusko Kalenatic
    Pages 55-66
  10. Vyacheslav V. Kalashnikov, Vladimir A. Bulavsky, Nataliya I. Kalashnykova
    Pages 95-100
  11. Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
    Pages 101-106
  12. Chrysostomos D. Stylios, Vladik Kreinovich
    Pages 123-128

About this book


This book describes new algorithms and ideas for making effective decisions under constraints, including applications in control engineering, manufacturing (how to optimally determine the production level), econometrics (how to better predict stock market behavior), and environmental science and geosciences (how to combine data of different types). It also describes general algorithms and ideas that can be used in other application areas.

The book presents extended versions of selected papers from the annual International Workshops on Constraint Programming and Decision Making (CoProd’XX) from 2013 to 2016. These workshops, held in the US (El Paso, Texas) and in Europe (Würzburg, Germany, and Uppsala, Sweden), have attracted researchers and practitioners from all over the world.

It is of interest to practitioners who benefit from the new techniques, to researchers who want to extend the ideas from these papers to new application areas and/or further improve the corresponding algorithms, and to graduate students who want to learn more – in short, to anyone who wants to make more effective decisions under constraints.


Computational Intelligence Constraint Programming Decision Making Decision Making Under Constraints CoProD

Editors and affiliations

  • Martine Ceberio
    • 1
  • Vladik Kreinovich
    • 2
  1. 1.Department of Computer ScienceUniversity of Texas at El PasoEl PasoUSA
  2. 2.Department of Computer ScienceUniversity of Texas at El PasoEl PasoUSA

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-61752-7
  • Online ISBN 978-3-319-61753-4
  • Series Print ISSN 2198-4182
  • Series Online ISSN 2198-4190
  • Buy this book on publisher's site
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