Overview
- Offers the first-ever comprehensive treatment of the developmental as well as application aspects of the "cutting edge” field of evolutionary computation based multi-criteria optimisation
- The only volume that addresses both the latest conceptual developments and numerous insights into their most effective uses
- A stellar collection of articles by top researchers in the field, the readers could expect to know the latest problem solving methodologies available and their success stories in several practical applications
Part of the book series: Advanced Information and Knowledge Processing (AI&KP)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Evolutionary Multiobjective Optimization
Book Subtitle: Theoretical Advances and Applications
Editors: Ajith Abraham, Lakhmi Jain, Robert Goldberg
Series Title: Advanced Information and Knowledge Processing
DOI: https://doi.org/10.1007/1-84628-137-7
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2005
Hardcover ISBN: 978-1-85233-787-2Published: 31 May 2005
Softcover ISBN: 978-1-84996-916-1Published: 22 October 2010
eBook ISBN: 978-1-84628-137-2Published: 05 September 2005
Series ISSN: 1610-3947
Series E-ISSN: 2197-8441
Edition Number: 1
Number of Pages: XVIII, 302
Topics: Theory of Computation, Algorithm Analysis and Problem Complexity, Data Structures and Information Theory, Information Systems Applications (incl. Internet)