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Theoretical Computer Science and General Issues

Multiobjective Optimization

Interactive and Evolutionary Approaches

Editors: Branke, J., Deb, K., Miettinen, K., Slowiński, R. (Eds.)

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About this book

Multiobjective optimization deals with solving problems having not only one, but multiple, often conflicting, criteria. Such problems can arise in practically every field of science, engineering and business, and the need for efficient and reliable solution methods is increasing. The task is challenging due to the fact that, instead of a single optimal solution, multiobjective optimization results in a number of solutions with different trade-offs among criteria, also known as Pareto optimal or efficient solutions. Hence, a decision maker is needed to provide additional preference information and to identify the most satisfactory solution. Depending on the paradigm used, such information may be introduced before, during, or after the optimization process. Clearly, research and application in multiobjective optimization involve expertise in optimization as well as in decision support.

This state-of-the-art survey originates from the International Seminar on Practical Approaches to Multiobjective Optimization, held in Dagstuhl Castle, Germany, in December 2006, which brought together leading experts from various contemporary multiobjective optimization fields, including evolutionary multiobjective optimization (EMO), multiple criteria decision making (MCDM) and multiple criteria decision aiding (MCDA).

This book gives a unique and detailed account of the current status of research and applications in the field of multiobjective optimization. It contains 16 chapters grouped in the following 5 thematic sections: Basics on Multiobjective Optimization; Recent Interactive and Preference-Based Approaches; Visualization of Solutions; Modelling, Implementation and Applications; and Quality Assessment, Learning, and Future Challenges.

Table of contents (16 chapters)

  • Introduction to Multiobjective Optimization: Noninteractive Approaches

    Miettinen, Kaisa

    Pages 1-26

  • Introduction to Multiobjective Optimization: Interactive Approaches

    Miettinen, Kaisa (et al.)

    Pages 27-57

  • Introduction to Evolutionary Multiobjective Optimization

    Deb, Kalyanmoy

    Pages 59-96

  • Interactive Multiobjective Optimization Using a Set of Additive Value Functions

    Figueira, José Rui (et al.)

    Pages 97-119

  • Dominance-Based Rough Set Approach to Interactive Multiobjective Optimization

    Greco, Salvatore (et al.)

    Pages 121-155

Buy this book

eBook $79.99
price for USA (gross)
  • ISBN 978-3-540-88908-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $109.00
price for USA
  • ISBN 978-3-540-88907-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Multiobjective Optimization
Book Subtitle
Interactive and Evolutionary Approaches
Editors
  • Jürgen Branke
  • Kalyanmoy Deb
  • Kaisa Miettinen
  • Roman Slowiński
Series Title
Theoretical Computer Science and General Issues
Series Volume
5252
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-88908-3
DOI
10.1007/978-3-540-88908-3
Softcover ISBN
978-3-540-88907-6
Edition Number
1
Number of Pages
XX, 470
Topics