Operations Research/Computer Science Interfaces Series

Genetic Algorithms and Fuzzy Multiobjective Optimization

Authors: Sakawa, Masatoshi

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  • ISBN 978-1-4615-1519-7
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Hardcover $329.00
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About this book

Since the introduction of genetic algorithms in the 1970s, an enormous number of articles together with several significant monographs and books have been published on this methodology. As a result, genetic algorithms have made a major contribution to optimization, adaptation, and learning in a wide variety of unexpected fields. Over the years, many excellent books in genetic algorithm optimization have been published; however, they focus mainly on single-objective discrete or other hard optimization problems under certainty. There appears to be no book that is designed to present genetic algorithms for solving not only single-objective but also fuzzy and multiobjective optimization problems in a unified way. Genetic Algorithms And Fuzzy Multiobjective Optimization introduces the latest advances in the field of genetic algorithm optimization for 0-1 programming, integer programming, nonconvex programming, and job-shop scheduling problems under multiobjectiveness and fuzziness. In addition, the book treats a wide range of actual real world applications. The theoretical material and applications place special stress on interactive decision-making aspects of fuzzy multiobjective optimization for human-centered systems in most realistic situations when dealing with fuzziness.
The intended readers of this book are senior undergraduate students, graduate students, researchers, and practitioners in the fields of operations research, computer science, industrial engineering, management science, systems engineering, and other engineering disciplines that deal with the subjects of multiobjective programming for discrete or other hard optimization problems under fuzziness. Real world research applications are used throughout the book to illustrate the presentation. These applications are drawn from complex problems. Examples include flexible scheduling in a machine center, operation planning of district heating and cooling plants, and coal purchase planning in an actual electric power plant.

Table of contents (11 chapters)

  • Introduction

    Sakawa, Masatoshi

    Pages 1-10

  • Foundations of Genetic Algorithms

    Sakawa, Masatoshi

    Pages 11-27

  • Genetic Algorithms for 0–1 Programming

    Sakawa, Masatoshi

    Pages 29-52

  • Fuzzy Multiobjective 0–1 Programming

    Sakawa, Masatoshi

    Pages 53-82

  • Genetic Algorithms for Integer Programming

    Sakawa, Masatoshi

    Pages 83-105

Buy this book

eBook $259.00
price for USA (gross)
  • ISBN 978-1-4615-1519-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $329.00
price for USA
  • ISBN 978-0-7923-7452-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $329.00
price for USA
  • ISBN 978-1-4613-5594-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Genetic Algorithms and Fuzzy Multiobjective Optimization
Authors
Series Title
Operations Research/Computer Science Interfaces Series
Series Volume
14
Copyright
2002
Publisher
Springer US
Copyright Holder
Kluwer Academic Publishers
eBook ISBN
978-1-4615-1519-7
DOI
10.1007/978-1-4615-1519-7
Hardcover ISBN
978-0-7923-7452-7
Softcover ISBN
978-1-4613-5594-6
Series ISSN
1387-666X
Edition Number
1
Number of Pages
X, 288
Topics