Intelligent and Evolutionary Systems

  • Mitsuo Gen
  • David Green
  • Osamu Katai
  • Bob McKay
  • Akira Namatame
  • Ruhul A. Sarker
  • Byoung-Tak Zhang

Part of the Studies in Computational Intelligence book series (SCI, volume 187)

Table of contents

  1. Front Matter
  2. Osamu Katai, Hiroshi Kawakami, Takayuki Shiose
    Pages 37-48
  3. George Leu, Akira Namatame
    Pages 49-59
  4. Takanori Komatsu, Akira Namatame
    Pages 79-90
  5. Mitsuo Gen, Lin Lin, Jung-Bok Jo
    Pages 105-121
  6. Shigekazu Sawaizumi, Osamu Katai, Hiroshi Kawakami, Takayuki Shiose
    Pages 163-169
  7. D. J. Cornforth, H. F. Jelinek, M. J. Cree, J. J. G. Leandro, J. V. B. Soares, R. M. Cesar Jr.
    Pages 171-182
  8. Back Matter

About this book


Artificial evolutionary systems are computer systems, inspired by ideas from natural evolution and related phenomena. The field has a long history, dating back to the earliest days of computer science, but it has only become an established scientific and engineering discipline since the 1990s, with packages for the commonest form, genetic algorithms, now widely available.

Researchers in the Asia-Pacific region have participated strongly in the development of evolutionary systems, with a particular emphasis on the evolution of intelligent solutions to highly complex problems. The Asia-Pacific Symposia on Intelligent and Evolutionary Systems have been an important contributor to this growth in impact, since 1997 providing an annual forum for exchange and dissemination of ideas. Participants come primarily from East Asia and the Western Pacific, but contributions are welcomed from around the World.

This volume features a selection of fourteen of the best papers from recent APSIES. They illustrate the breadth of research in the region, with applications ranging from business to medicine, from network optimization to the promotion of innovation.


Bayesian network Natur Promotion computer science control database development evolution fuzzy genetic algorithms logistics marketing network optimization science

Editors and affiliations

  • Mitsuo Gen
    • 1
  • David Green
    • 2
  • Osamu Katai
    • 3
  • Bob McKay
    • 4
  • Akira Namatame
    • 5
  • Ruhul A. Sarker
    • 6
  • Byoung-Tak Zhang
    • 4
  1. 1.Waseda UniversityKitakyushuJapan
  2. 2.Monash UniversityClaytonAustralia
  3. 3.Kyoto UniversityKyotoJapan
  4. 4.Seoul National UniversitySeoulKorea
  5. 5.National Defense Academy of JapanYokosukaJapan
  6. 6.UNSW@ADFACampbellAustralia

Bibliographic information

  • DOI
  • Copyright Information Springer Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-540-95977-9
  • Online ISBN 978-3-540-95978-6
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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