Evolutionary Multiobjective Optimization (Paperback)

Ajith Abraham

ISBN 10: 1849969167 / ISBN 13: 9781849969161

Published by Springer London Ltd, England, 2010

About this Item

Paperback. 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 algorithmsExcellent coverage of timely, advanced multiobjective optimization topicsState-of-the-art theoretical research and application developmentsChapters 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9781849969161

Bibliographic Details

• Title: Evolutionary Multiobjective Optimization (Paperback)
• Publisher: Springer London Ltd, England
• Publication Date: 2010
• Language: English
• ISBN 10: 1849969167
• ISBN 13: 9781849969161
• Binding: Paperback
• Edition: 1st Edition
• 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.