Theoretical Computer Science and General Issues

Evolutionary Multi-Criterion Optimization

4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007, Proceedings

Editors: Obayashi, S., Deb, K., Poloni, C., Hiroyasu, T., Murata, T. (Eds.)

Buy this book

eBook $169.00
price for USA (gross)
  • ISBN 978-3-540-70928-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $219.00
price for USA
  • ISBN 978-3-540-70927-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Multicriterion optimization refers to problems with two or more objectives (normally in conflict with each other) which must be simultaneously satisfied. Evolutionary algorithms have been used for solving multicriterion optimization problems for over two decades, gaining an increasing attention from industry. The 4th International Conference on Evolutionary Multi-criterion Optimization (EMO2007) was held during March 5–8, 2007, in Matsushima/Sendai, Japan. This was the fourth international conference dedicated entirely to this important topic, following the successful EMO 2001, EMO 2003 and EMO 2005 conferences, which were held in Zürich, Switzerland in March 2001, in Faro, Portugal in April 2003, and in Guanajuato, México in March 2005. EMO2007 was hosted by the Institute of Fluid Science, Tohoku University. EMO2007 was co-hosted by the Graduate School of Information Sciences, Tohoku University, the Japan Aerospace Exploration Agency (JAXA), and the Policy Grid Computing Laboratory, Kansai University. The EMO2007 scientific program included four keynote speakers: Hirotaka Nakayama on aspiration level methods, Kay Chen Tan on large and computationally intensive real-world MO optimization problems, Carlos Fonseca on decision making, and Gary B. Lamont on design of large-scale network centric systems.

Table of contents (69 chapters)

  • Aspiration Level Methods in Interactive Multi-objective Programming and Their Engineering Applications (Abstract of Invited Talk)

    Nakayama, Hirotaka

    Pages 1-1

  • Improving the Efficacy of Multi-objective Evolutionary Algorithms for Real-World Applications (Abstract of Invited Talk)

    Tan, Kay Chen

    Pages 2-2

  • Decision Making in Evolutionary Optimization (Abstract of Invited Talk)

    Fonseca, Carlos M.

    Pages 3-3

  • MOEAs in the Design of Network Centric Systems (Abstract of Invited Talk)

    Lamont, Gary B.

    Pages 4-4

  • Controlling Dominance Area of Solutions and Its Impact on the Performance of MOEAs

    Sato, Hiroyuki (et al.)

    Pages 5-20

Buy this book

eBook $169.00
price for USA (gross)
  • ISBN 978-3-540-70928-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $219.00
price for USA
  • ISBN 978-3-540-70927-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Evolutionary Multi-Criterion Optimization
Book Subtitle
4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007, Proceedings
Editors
  • Shigeru Obayashi
  • Kalyanmoy Deb
  • Carlo Poloni
  • Tomoyuki Hiroyasu
  • Tadahiko Murata
Series Title
Theoretical Computer Science and General Issues
Series Volume
4403
Copyright
2007
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-70928-2
DOI
10.1007/978-3-540-70928-2
Softcover ISBN
978-3-540-70927-5
Edition Number
1
Number of Pages
XIX, 954
Topics