Sequential Approximate Optimization Using RBF Network : Basic Examination on the Sampling Function(Mechanical Systems)
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- KITAYAMA Satoshi
- College of Science and Engineering, Kanazawa University
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- ARAKAWA Masao
- 香川大学工学部
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- YAMAZAKI Koetsu
- 金沢大学理工学域
Bibliographic Information
- Other Title
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- RBFネットワークによる逐次近似最適化 : サンプル関数の基礎的検討(機械力学,計測,自動制御)
- RBFネットワークによる逐次近似最適化--サンプル関数の基礎的検討
- RBF ネットワーク ニ ヨル チクジ キンジ サイテキカ サンプル カンスウ ノ キソテキ ケントウ
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Abstract
One of the important issues on the Sequential Approximate Optimization (SAO) is the sampling strategy. The sampling strategy for SAO using the Radial Basis Function (RBF) network is proposed in this paper. The proposed sampling strategy consists of three parts, which are called the density function, the boundary function, and random sampling. In order to add the new sampling points effectively, the density function and the boundary fuction are constructed by the RBF network. The objective of the density function is to find the sparse region in the design variable space and is to add the new sampling points in this region. In the constrained optimization problems, at least, one or more constraints will be active. As the result, it is desirable to add the new sampling points on the constratins. The objective of the boundary function is to add the new sampling points on the boundary. In addition, the random sampling is also introduced to spread the search region. The algorithm of proposed sampling strategy is described in detail. Through the numerical examples, the validity is examined.
Journal
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- TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C
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TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C 76 (768), 1978-1987, 2010
The Japan Society of Mechanical Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1390282681362379904
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- NII Article ID
- 110007685473
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- NII Book ID
- AN00187463
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- ISSN
- 18848354
- 03875024
- http://id.crossref.org/issn/03875024
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- NDL BIB ID
- 10812651
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- Text Lang
- ja
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- Data Source
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- JaLC
- IRDB
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed