Multidimensional Global Optimization Using Interval Slopes(Numerical Analysis and Optimization)
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概要
- 論文の詳細を見る
The knowledge of a good enclosure of the range of a function over small interval regions allows us to avoid convergence of optimization algorithms to a non-global point (s). We used interval slopes f [X, x] to check for monotonicity and integrated their derivative forms g [X, x], x ∈ X by quadratic and Newton methods to obtain narrow enclosures. In order to include boundary points in the search for the optimum point (s), we expanded the initial box by a small width on each dimension. These procedures resulted in an improvement in the algorithm proposed by Hansen [4].
- 社団法人電子情報通信学会の論文
- 2003-11-01
著者
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Imai H
Hokkaido Univ. Sapporo‐shi Jpn
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Mwangi Ronald
Graduate School of Engineering, Hokkaido University
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Sato Yoshiharu
Graduate School of Engineering, Hokkaido University
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MWANGI Ronald
Division of Systems and Information Engineering, Graduate school of Engineering, Hokkaido University
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IMAI Hideyuki
Division of Systems and Information Engineering, Graduate school of Engineering, Hokkaido University
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SATO Yoshiharu
Division of Systems and Information Engineering, Graduate school of Engineering, Hokkaido University
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Mwangi Ronald
Division Of Systems And Information Engineering Graduate School Of Engineering Hokkaido University
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Imai Hideyuki
Division Of Systems And Information Engineering Graduate School Of Engineering Hokkaido University
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Sato Y
Micro Device Division Hitachi Ltd.:(present Address)semiconductor Technology Academic Research Cente
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Sato Yoshiharu
Division Of Information And Graphics Science Faculty Of Engineering Hokkaido University
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IMAI Hideyuki
Division of Computer Science, Graduate School of Information Science and Technology, Hokkaido University
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