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進化型多目的最適化における探索履歴を活用した局所解脱出と集中探索メカニズム
http://hdl.handle.net/10258/00009533
http://hdl.handle.net/10258/000095338d24704a-3768-48e2-a680-884bf22b5828
名前 / ファイル | ライセンス | アクション |
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TJSAI_32_3 (7.3 MB)
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Item type | 学術雑誌論文 / Journal Article.(1) | |||||||||||
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公開日 | 2018-02-02 | |||||||||||
タイトル | ||||||||||||
言語 | ja | |||||||||||
タイトル | 進化型多目的最適化における探索履歴を活用した局所解脱出と集中探索メカニズム | |||||||||||
タイトル | ||||||||||||
言語 | en | |||||||||||
タイトル | Escaping from Local Optima and Convergence Mechanisms Based on Search History in Evolutionary Multi-criterion Optimization | |||||||||||
言語 | ||||||||||||
言語 | jpn | |||||||||||
キーワード | ||||||||||||
言語 | en | |||||||||||
主題Scheme | Other | |||||||||||
主題 | evolutionary multi-criterion optimization | |||||||||||
キーワード | ||||||||||||
言語 | en | |||||||||||
主題Scheme | Other | |||||||||||
主題 | local search | |||||||||||
キーワード | ||||||||||||
言語 | en | |||||||||||
主題Scheme | Other | |||||||||||
主題 | search history | |||||||||||
資源タイプ | ||||||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||
資源タイプ | journal article | |||||||||||
アクセス権 | ||||||||||||
アクセス権 | open access | |||||||||||
アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||||||
著者 |
左文字, 響
× 左文字, 響× 渡邉, 真也
WEKO
39270
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室蘭工業大学研究者データベースへのリンク | ||||||||||||
渡邉 真也(WATANABE Shinya) | ||||||||||||
http://rdsoran.muroran-it.ac.jp/html/100000110_ja.html | ||||||||||||
抄録 | ||||||||||||
内容記述タイプ | Abstract | |||||||||||
内容記述 | In this paper, a new local search approach using a search history in evolutionary multi-criterion optimization (EMO) is proposed. This approach was designed by two opposite mechanisms (escaping from local optima and convergence search) and assumed to incorporate these into an usual EMO algorithm for strengthening its search ability. The main feature of this approach is to perform a high efficient search by changing these mechanisms according to the search condition. If the search situation seems to be stagnated, escape mechanism would be applied for shifting search point from this one to another one. On the other hand, if it observes no sign of the improvement of solutions after repeating this escape mechanism for a fixed period, convergence mechanism is applied to improve the quality of solution through an intensive local search. This paper presents a new approach, called “escaping from local optima and convergence mechanisms based on search history - SPLASH -”. Experimental results showed the effectiveness of SPLASH and the workings of SPLASH’s two mechanisms using WFG test suites. | |||||||||||
言語 | en | |||||||||||
書誌情報 |
ja : 人工知能学会論文誌 en : Transactions of the Japanese Society for Artificial Intelligence 巻 32, 号 3, 発行日 2017 |
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出版者 | ||||||||||||
言語 | ja | |||||||||||
出版者 | 人工知能学会 | |||||||||||
出版者版へのリンク | ||||||||||||
10.1527/tjsai.E-GB1 | ||||||||||||
https://doi.org/10.1527/tjsai.E-GB1 | ||||||||||||
DOI | ||||||||||||
関連タイプ | isIdenticalTo | |||||||||||
識別子タイプ | DOI | |||||||||||
関連識別子 | 10.1527/tjsai.E-GB1 | |||||||||||
論文ID(NAID) | ||||||||||||
関連タイプ | isIdenticalTo | |||||||||||
識別子タイプ | NAID | |||||||||||
関連識別子 | 130005632080 | |||||||||||
日本十進分類法 | ||||||||||||
主題Scheme | NDC | |||||||||||
主題 | 007.8 | |||||||||||
ISSN | ||||||||||||
収録物識別子タイプ | PISSN | |||||||||||
収録物識別子 | 1346-0714 | |||||||||||
書誌レコードID | ||||||||||||
収録物識別子タイプ | NCID | |||||||||||
収録物識別子 | AA11579226 | |||||||||||
権利 | ||||||||||||
言語 | ja | |||||||||||
権利情報 | © 2017 人工知能学会 | |||||||||||
著者版フラグ | ||||||||||||
出版タイプ | VoR | |||||||||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||
主となる版 | ||||||||||||
関連タイプ | isVersionOf | |||||||||||
識別子タイプ | URI | |||||||||||
関連識別子 | https://www.jstage.jst.go.jp/article/tjsai/32/3/32_E-GB1/_pdf/-char/ja | |||||||||||
フォーマット | ||||||||||||
内容記述タイプ | Other | |||||||||||
内容記述 | application/pdf |