Evolutionary Multiobjective Optimization

ISBN 10: 1852337877 / ISBN 13: 9781852337872

Published by Springer, 2005

About this Item

pp. 324.

Seller Inventory # 26290223

Bibliographic Details

• Title: Evolutionary Multiobjective Optimization
• Publisher: Springer
• Publication Date: 2005
• Language: English
• ISBN 10: 1852337877
• ISBN 13: 9781852337872
• Binding: Hardcover
• Condition: New

About this title

Synopsis

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.

Synopsis

"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; and 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.