Sequential Approximate Multiobjective Op
โ Min Yoon, Yeboon Yun, Hirotaka Nakayama (auth.)
๐ Library
๐
2009
๐ Springer-Verlag Berlin Heidelberg
๐ English
โฆ LIBER โฆ
๐
Sequential Approximate Multiobjective Optimization Using Computational Intelligence
โ Scribed by Min Yoon, Yeboon Yun, Hirotaka Nakayama (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2009
- Tongue
- English
- Leaves
- 206
- Series
- Vector Optimization
- Edition
- 1
- Category
- Library
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No coin nor oath required. For personal study only.
โฆ Synopsis
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.
โฆ Table of Contents
Front Matter....Pages 1-14
Basic Concepts of Multi-objective Optimization....Pages 1-15
Interactive Programming Methods for Multi-objective Optimization....Pages 17-43
Generation of Pareto Frontier by Genetic Algorithms....Pages 45-71
Multi-objective Optimization and Computational Intelligence....Pages 73-112
Sequential Approximate Optimization....Pages 113-149
Combining Aspiration Level Approach and SAMO....Pages 151-168
Engineering Applications....Pages 169-183
Back Matter....Pages 1-13
โฆ Subjects
Discrete Mathematics in Computer Science; Optimization; Operations Research/Decision Theory
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