Presentation 2016-03-25
Deterministic Inductive Search for Solving Global Optimization Problems
Hideo Kanemitsu,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Inductive Search for solving global optimization problems attracted attention because of showing the best performance at 1st ICEO (the First International Contest Evolutionarily Optimisation, 1996). However, since details of this method has not been clear, recently the method has not received much attention. We investigate and introduce details of the method, and reconstruct using deterministic one dimensional global search. At last, we investigate and evaluates our proposed method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) inductive search / global optimization / continuous optimization / optimization / nonlinear
Paper # NLP2015-152
Date of Issue 2016-03-17 (NLP)

Conference Information
Committee NLP
Conference Date 2016/3/24(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Kyoto Sangyo Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Kenya Jinno(Nippon Inst. of Tech.)
Vice Chair Naoto Fujisaka(Hiroshima City Univ.)
Secretary Naoto Fujisaka(Tokyo Univ. of Science)
Assistant Hidehiro Nakano(Tokyo City Univ.) / Hiroyuki Asahara(Okayama Univ. of Science)

Paper Information
Registration To Technical Committee on Nonlinear Problems
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Deterministic Inductive Search for Solving Global Optimization Problems
Sub Title (in English)
Keyword(1) inductive search
Keyword(2) global optimization
Keyword(3) continuous optimization
Keyword(4) optimization
Keyword(5) nonlinear
1st Author's Name Hideo Kanemitsu
1st Author's Affiliation Hokkaido University of Education(Hokkaido Univ of Edu)
Date 2016-03-25
Paper # NLP2015-152
Volume (vol) vol.115
Number (no) NLP-515
Page pp.pp.57-61(NLP),
#Pages 5
Date of Issue 2016-03-17 (NLP)