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Evolutionary Multiobjective Optimization: Theoretical Advances and Applications 2005 Edition
Contributor(s): Abraham, Ajith (Editor), Goldberg, Robert (Editor)
ISBN: 1852337877     ISBN-13: 9781852337872
Publisher: Springer
OUR PRICE:   $189.99  
Product Type: Hardcover - Other Formats
Published: May 2005
Qty:
Annotation: Evolutionary Multiobjective Optimization is a rare collection of the latest state-of-the-art theoretical research, design challenges and applications in the field of multiobjective optimization paradigms using evolutionary algorithms. It includes two introductory chapters giving all the fundamental definitions, several complex test functions and a practical problem involving the multiobjective optimization of space structures under static and seismic loading conditions used to illustrate the various multiobjective optimization concepts.

Important features include:

  • Detailed overview of  all the multiobjective optimization paradigms using evolutionary algorithms
  • Excellent coverage of timely, advanced multiobjective optimization topics
  • State-of-the-art theoretical research and application developments
  • Chapters authored by pioneers in the field

Academics and industrial scientists as well as engineers engaged in research, development and application of evolutionary algorithm based Multiobjective Optimization will find the comprehensive coverage of this book invaluable.

Additional Information
BISAC Categories:
- Computers | Computer Science
- Computers | Information Technology
- Computers | Programming - Algorithms
Dewey: 519.6
LCCN: 2004052555
Series: Advanced Information and Knowledge Processing
Physical Information: 0.75" H x 6.14" W x 9.21" (1.39 lbs) 302 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

Evolutionary Multiobjective Optimization is a rare collection of the latest state-of-the-art theoretical research, design challenges and applications in the field of multiobjective optimization paradigms using evolutionary algorithms. It includes two introductory chapters giving all the fundamental definitions, several complex test functions and a practical problem involving the multiobjective optimization of space structures under static and seismic loading conditions used to illustrate the various multiobjective optimization concepts.

Important features include:

  • Detailed overview of all the multiobjective optimization paradigms using evolutionary algorithms
  • Excellent coverage of timely, advanced multiobjective optimization topics
  • State-of-the-art theoretical research and application developments
  • Chapters authored by pioneers in the field

Academics and industrial scientists as well as engineers engaged in research, development and application of evolutionary algorithm based Multiobjective Optimization will find the comprehensive coverage of this book invaluable.