Natural Computing Series

Multiobjective Problem Solving from Nature

From Concepts to Applications

Editors: Knowles, Joshua, Corne, David, Deb, Kalyanmoy (Eds.)

  • Distinguished from other texts on MOEAs in that it is not primarily about the algorithms, nor specific applications, but about the concepts and processes involved in solving problems using a multiobjective approach
  • Contributions by leading researchers
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  • ISBN 978-3-540-72964-8
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Hardcover $179.00
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About this book

Multiobjective problems involve several competing measures of solution quality, and multiobjective evolutionary algorithms (MOEAs) and multiobjective problem solving have become important topics of research in the evolutionary computation community over the past 10 years. This is an advanced text aimed at researchers and practitioners in the area of search and optimization.

The book focuses on how MOEAs and related techniques can be used to solve problems, particularly in the disciplines of science and engineering. Contributions by leading researchers show how the concepts of multiobjective optimization can be used to reformulate and resolve problems in broad areas such as constrained optimization, coevolution, classification, inverse modelling and design. The book is distinguished from other texts on MOEAs in that it is not primarily about the algorithms, nor specific applications, but about the concepts and processes involved in solving problems using a multiobjective approach. Each chapter contributes to the central, deep concepts and themes of the book: evaluating the utility of the multiobjective approach; discussing alternative problem formulations; showing how problem formulation affects the search process; and examining solution selection and decision making.

The book will be of benefit to researchers, practitioners and graduate students engaged with optimization-based problem solving. For multiobjective optimization experts, the book is an up-to-date account of emerging and advanced topics; for others, the book indicates how the multiobjective approach can lead to fresh insights.

Table of contents (18 chapters)

  • Introduction: Problem Solving, EC and EMO

    Knowles, Joshua (et al.)

    Pages 1-28

  • Multiobjective Optimization and Coevolution

    Ficici, Sevan Gregory

    Pages 31-52

  • Constrained Optimization via Multiobjective Evolutionary Algorithms

    Mezura-Montes, Efrén (et al.)

    Pages 53-75

  • Tackling Dynamic Problems with Multiobjective Evolutionary Algorithms

    Bui, Lam T. (et al.)

    Pages 77-91

  • Computational Studies of Peptide and Protein Structure Prediction Problems via Multiobjective Evolutionary Algorithms

    Cutello, Vincenzo (et al.)

    Pages 93-114

Buy this book

eBook $139.00
price for USA
  • ISBN 978-3-540-72964-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $179.00
price for USA
  • ISBN 978-3-540-72963-1
  • Free shipping for individuals worldwide
  • Online orders shipping within 2-3 days.

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Bibliographic Information

Bibliographic Information
Book Title
Multiobjective Problem Solving from Nature
Book Subtitle
From Concepts to Applications
Editors
  • Joshua Knowles
  • David Corne
  • Kalyanmoy Deb
Series Title
Natural Computing Series
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-72964-8
DOI
10.1007/978-3-540-72964-8
Hardcover ISBN
978-3-540-72963-1
Series ISSN
1619-7127
Edition Number
1
Number of Pages
XVI, 411
Topics