Overview
- Evolutionary Multi Objective is an important area which is presently gaining considerable attention. There is a lack of books in the area.
- The book will be recommended for the authors’ two computational intelligence courses (often with a total of over 150 students)
Part of the book series: Advanced Information and Knowledge Processing (AI&KP)
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Table of contents (14 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Multiobjective Evolutionary Algorithms and Applications provides comprehensive treatment on the design of multiobjective evolutionary algorithms and their applications in domains covering areas such as control and scheduling. Emphasizing both the theoretical developments and the practical implementation of multiobjective evolutionary algorithms, a profound mathematical knowledge is not required.
Written for a wide readership, engineers, researchers, senior undergraduates and graduate students interested in the field of evolutionary algorithms and multiobjective optimization with some basic knowledge of evolutionary computation will find this book a useful addition to their book case.
Authors and Affiliations
Bibliographic Information
Book Title: Multiobjective Evolutionary Algorithms and Applications
Authors: K.C. Tan, E.F. Khor, T.H. Lee
Series Title: Advanced Information and Knowledge Processing
DOI: https://doi.org/10.1007/1-84628-132-6
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2005
Hardcover ISBN: 978-1-85233-836-7Published: 31 May 2005
Softcover ISBN: 978-1-84996-935-2Published: 22 October 2010
eBook ISBN: 978-1-84628-132-7Published: 28 November 2005
Series ISSN: 1610-3947
Series E-ISSN: 2197-8441
Edition Number: 1
Number of Pages: X, 296
Topics: Theory of Computation, Algorithm Analysis and Problem Complexity, Computer Appl. in Administrative Data Processing, Information Systems Applications (incl. Internet)