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Sequential Approximate Multiobjective Optimization Using Computational Intelligence

This book highlights a new direction of multiobjective optimzation, which has never been treated in previous publications. When the function form of objective functions is not known explicitly as encountered in many practical problems, sequential approximate optimization based on metamodels is an... Full description

1st Person: Nakayama, Hirotaka
Additional Corporate Bodies: SpringerLink (Online service)
Additional Persons: Yun, Yeboon [author]; Yoon, Min [author]
Type of Publication: Book
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2009, 2009
Edition: 1st ed. 2009
Series: Vector Optimization
Keywords: Theory of Computation
Mathematical Modeling and Industrial Mathematics
Operations research
Information theory
Operations Research, Management Science
Computational complexity
Optimization
Operations Research/Decision Theory
Mathematical optimization
Discrete Mathematics in Computer Science
Online: Volltext
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100 1 |a Nakayama, Hirotaka 
245 0 0 |a Sequential Approximate Multiobjective Optimization Using Computational Intelligence  |h Elektronische Ressource  |c by Hirotaka Nakayama, Yeboon Yun, Min Yoon 
250 |a 1st ed. 2009 
260 |a Berlin, Heidelberg  |b Springer Berlin Heidelberg  |c 2009, 2009 
300 |a XVI, 200 p. 111 illus  |b online resource 
505 0 |a Basic Concepts of Multi-objective Optimization -- Interactive Programming Methods for Multi-objective Optimization -- Generation of Pareto Frontier by Genetic Algorithms -- Multi-objective Optimization and Computational Intelligence -- Sequential Approximate Optimization -- Combining Aspiration Level Approach and SAMO -- Engineering Applications 
653 |a Theory of Computation 
653 |a Mathematical Modeling and Industrial Mathematics 
653 |a Operations research 
653 |a Information theory 
653 |a Operations Research, Management Science 
653 |a Computational complexity 
653 |a Optimization 
653 |a Operations Research/Decision Theory 
653 |a Mathematical optimization 
653 |a Discrete Mathematics in Computer Science 
700 1 |a Yun, Yeboon  |e [author] 
700 1 |a Yoon, Min  |e [author] 
710 2 |a SpringerLink (Online service) 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
490 0 |a Vector Optimization 
856 |u https://doi.org/10.1007/978-3-540-88910-6?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 003.3 
520 |a This book highlights a new direction of multiobjective optimzation, which has never been treated in previous publications. When the function form of objective functions is not known explicitly as encountered in many practical problems, sequential approximate optimization based on metamodels is an effective tool from a practical viewpoint. Several sophisticated methods for sequential approximate multiobjective optimization using computational intelligence are introduced along with real applications, mainly engineering problems, in this book 

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