Authors:
- No book on the subject so far
- Since no explicit functions form of objectives is available in many practical ( in particular, engineering design) problems, optimization using metamodels is very important in practice
- Book is also a good application of computational intelligence techniques
- Includes supplementary material: sn.pub/extras
Part of the book series: Vector Optimization (VECTOROPT)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
Reviews
From the reviews:
"The basic concepts of multiobjective optimization are included making the book self-contained. The performance of the presented methods is demonstrated by the results of applications to real world problems. … The book is aimed to researchers, practitioners in industries and students of graduate course and high grade of undergraduate course." (Antanas Žilinskas, Zentralblatt MATH, Vol. 1167, 2009)
Bibliographic Information
Book Title: Sequential Approximate Multiobjective Optimization Using Computational Intelligence
Authors: Min Yoon, Yeboon Yun, Hirotaka Nakayama
Series Title: Vector Optimization
DOI: https://doi.org/10.1007/978-3-540-88910-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Hardcover ISBN: 978-3-540-88909-0Published: 12 May 2009
Softcover ISBN: 978-3-642-10030-7Published: 01 April 2011
eBook ISBN: 978-3-540-88910-6Published: 12 June 2009
Series ISSN: 1867-8971
Series E-ISSN: 1867-898X
Edition Number: 1
Number of Pages: XVI, 200
Number of Illustrations: 111 b/w illustrations
Topics: Mathematical Modeling and Industrial Mathematics, Operations Research, Management Science, Theory of Computation, Operations Research/Decision Theory, Optimization, Discrete Mathematics in Computer Science