Multi-Objective Optimization Using Evolutionary Algorithms - Softcover

Deb, Kalyanmoy

  • 4.48 out of 5 stars
    23 ratings by Goodreads
 
Image Not Available

Synopsis

The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists.

Evolutionary algorithms are very powerful techniques used to find solutions to real-world search and optimization problems. Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. It has been found that using evolutionary algorithms is a highly effective way of finding multiple effective solutions in a single simulation run.

  1. Comrephensive coverage of this growing area of research.
  2. Carefully introduces each algorithm with examples and in-depth discussion.
  3. Includes many applications to real-world problems, including engineering design and scheduling.
  4. Includes discussion of advanced topics and future research.
  5. Accessible to those with limited knowledge of multi-objective optimization and evolutionary algorithms

Provides an extensive discussion on the principles of multi-objective optimization and on a number of classical approaches.

This integrated presentation of theory, algorithms and examples will benefit those working in the areas of optimization, optimal design and evolutionary computing.

"synopsis" may belong to another edition of this title.

About the Author

Kalyanmoy Deb is an Indian computer scientist. Since 2013, Deb has held the Herman E. & Ruth J. Koenig Endowed Chair in the Department of Electrical and Computing Engineering at Michigan State University, which was established in 2001.

From the Back Cover

Multi-Objective Optimization using Evolutionary Algorithms

Kalyanmoy Deb
Indian Institute of Technology, Kanpur, India

The Wiley Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians and scientists.

Multi-Objective Optimization using Evolutionary Algorithms

Kalyanmoy Deb
Indian Institute of Technology, Kanpur, India

Evolutionary algorithms are very powerful techniques used to find solutions to real-world search and optimization problems. Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. It has been found that using evolutionary algorithms is a highly effective way of finding multiple effective solutions in a single simulation run.

  1. Comrephensive coverage of this growing area of research.
  2. Carefully introduces each algorithm with examples and in-depth discussion.
  3. Includes many applications to real-world problems, including engineering design and scheduling.
  4. Includes discussion of advanced topics and future research.
  5. Accessible to those with limited knowledge of multi-objective optimization and evolutionary algorithms

Provides an extensive discussion on the principles of multi-objective optimization and on a number of classical approaches.

This integrated presentation of theory, algorithms and examples will benefit those working in the areas of optimization, optimal design and evolutionary computing.

From the Inside Flap

Multi-Objective Optimization using Evolutionary Algorithms

Kalyanmoy Deb
Indian Institute of Technology, Kanpur, India

The Wiley Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians and scientists.

Multi-Objective Optimization using Evolutionary Algorithms

Kalyanmoy Deb
Indian Institute of Technology, Kanpur, India

Evolutionary algorithms are very powerful techniques used to find solutions to real-world search and optimization problems. Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. It has been found that using evolutionary algorithms is a highly effective way of finding multiple effective solutions in a single simulation run.

  1. Comrephensive coverage of this growing area of research.
  2. Carefully introduces each algorithm with examples and in-depth discussion.
  3. Includes many applications to real-world problems, including engineering design and scheduling.
  4. Includes discussion of advanced topics and future research.
  5. Accessible to those with limited knowledge of multi-objective optimization and evolutionary algorithms

Provides an extensive discussion on the principles of multi-objective optimization and on a number of classical approaches.

This integrated presentation of theory, algorithms and examples will benefit those working in the areas of optimization, optimal design and evolutionary computing.

"About this title" may belong to another edition of this title.

  • PublisherWiley
  • Publication date2009
  • ISBN 10 0470743611
  • ISBN 13 9780470743614
  • BindingPaperback
  • LanguageEnglish
  • Edition number1
  • Number of pages544
  • Rating
    • 4.48 out of 5 stars
      23 ratings by Goodreads

Other Popular Editions of the Same Title

Image Not Available

Featured Edition

ISBN 10:  047187339X ISBN 13:  9780471873396
Publisher: Wiley, 2001
Hardcover