Optimization in the Real World

Toward Solving Real-World Optimization Problems

  • Katsuki Fujisawa
  • Yuji Shinano
  • Hayato Waki
Conference proceedings

Part of the Mathematics for Industry book series (MFI, volume 13)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Katsuki Fujisawa, Toyotaro Suzumura, Hitoshi Sato, Koji Ueno, Yuichiro Yasui, Keita Iwabuchi et al.
    Pages 1-13
  3. Kengo Nakajima, Masaki Satoh, Takashi Furumura, Hiroshi Okuda, Takeshi Iwashita, Hide Sakaguchi et al.
    Pages 15-35
  4. Gerald Gamrath, Timo Berthold, Stefan Heinz, Michael Winkler
    Pages 37-53
  5. Martina Fischetti, Matteo Fischetti, Michele Monaci
    Pages 55-78
  6. Emerson G. Escolar, Yasuaki Hiraoka
    Pages 79-96
  7. Andreas Draegert, Andreas Eisenblätter, Inken Gamrath, Axel Werner
    Pages 97-113
  8. Junko Hosoda, Kenichi Funaki, Takafumi Chida
    Pages 139-155

About these proceedings


This book clearly shows the importance, usefulness, and powerfulness of current optimization technologies, in particular, mixed-integer programming and its remarkable applications. It is intended to be the definitive study of state-of-the-art optimization technologies for students, academic researchers, and non-professionals in industry. The chapters of this book are based on a collection of selected and extended papers from the  “IMI Workshop on Optimization in the Real World” held in October 2014 in Japan.


Graph Analysis High Performance Computing IMI Industry-Academia Collaboration Katsuki Fujisawa Martine Grötschel Mathematical Optimization Mixed Integer Programming Software Packages

Editors and affiliations

  • Katsuki Fujisawa
    • 1
  • Yuji Shinano
    • 2
  • Hayato Waki
    • 3
  1. 1.Kyushu UniversityFukuokaJapan
  2. 2.Zuse Institute BerlinBerlinGermany
  3. 3.Kyushu UniversityFukuokaJapan

Bibliographic information

  • DOI
  • Copyright Information Springer Japan 2016
  • Publisher Name Springer, Tokyo
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-4-431-55419-6
  • Online ISBN 978-4-431-55420-2
  • Series Print ISSN 2198-350X
  • Series Online ISSN 2198-3518
  • Buy this book on publisher's site
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