| アイテムタイプ |
学術雑誌論文 / Journal Article.(1) |
| 公開日 |
2018-07-06 |
| 書誌情報 |
ja : 進化計算学会論文誌
en : Transaction of the Japanese Society for Evolutionary Computation
巻 8,
号 2,
p. 75-87,
発行日 2017
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| タイトル |
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タイトル |
相関ルールに基づく非劣解分析支援システムのオンデマンド化 |
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言語 |
ja |
| タイトル |
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|
タイトル |
A Proposal of On-demand Correlation-based Information Hierarchical Structuring Method Based on the Association Rules |
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言語 |
en |
| 言語 |
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言語 |
jpn |
| キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
non-dominated solutions |
| キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
association rule |
| キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
discretization |
| キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
on-demand system |
| キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
automatic setting of minimum support |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
journal article |
| アクセス権 |
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アクセス権 |
open access |
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アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 著者 |
賀川, 祐太朗
渡邉, 真也
金崎, 雅博
依田, 英之
千葉, 一永
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| 室蘭工業大学研究者データベースへのリンク |
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表示名 |
渡邉 真也（WATANABE Shinya） |
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URL |
http://rdsoran.muroran-it.ac.jp/html/100000110_ja.html |
| 抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
In recent years, there has been many examples of applying evolutionary multi-criterion optimization (EMO) to practical problems in many fields. On the other hand, a new problem of how to analyze non-dominated solutions (NDSs) with many design variables and many objectives arises. For this problem, we has provided our original analysis support system using association rules, which is correlation-based information hierarchical structuring method (CIHSM). CIHSM could extract features of NDSs through objective analysis using association rules and visually present result of analyses as a hierarchical tree. However, there remains two problems in our CIHSM; the parameter setting related to association rules and the feature extraction required by user's interest. In this paper, we have proposed a modified CIHSM having two mechanism for dissolving these two problems. We called it ``on-demand CIHSM''. The first mechanism is the feature selection according to user's interest region in objective space. The important point of this mechanism is that user can select his interests region visually. And the second mechanism is to tune the value of minimum support parameter automatically. The setting of this parameter has a strong influence for the number of extracted rules. But this mechanism could provide use's requirement number of rules without tuning the value of this parameter. To investigate the effectiveness of on-demand CIHSM, we applied it to the conceptual design problem of hybrid rocket engine(HRE) problem, which is a real problem provided by JAXA. Through this experiments, it was verified that our on-demand CIHSM is very useful to extract features of NDS according to user's interest. |
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言語 |
en |
| 注記 |
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内容記述タイプ |
Other |
|
内容記述 |
In recent years, there has been many examples of applying evolutionary multi-criterion optimization (EMO) to practical problems in many fields. On the other hand, a new problem of how to analyze non-dominated solutions (NDSs) with many design variables and many objectives arises. For this problem, we has provided our original analysis support system using association rules, which is correlation-based information hierarchical structuring method (CIHSM). CIHSM could extract features of NDSs through objective analysis using association rules and visually present result of analyses as a hierarchical tree. However, there remains two problems in our CIHSM; the parameter setting related to association rules and the feature extraction required by user's interest. In this paper, we have proposed a modified CIHSM having two mechanism for dissolving these two problems. We called it ``on-demand CIHSM''. The first mechanism is the feature selection according to user's interest region in objective space. The important point of this mechanism is that user can select his interests region visually. And the second mechanism is to tune the value of minimum support parameter automatically. The setting of this parameter has a strong influence for the number of extracted rules. But this mechanism could provide use's requirement number of rules without tuning the value of this parameter. To investigate the effectiveness of on-demand CIHSM, we applied it to the conceptual design problem of hybrid rocket engine(HRE) problem, which is a real problem provided by JAXA. Through this experiments, it was verified that our on-demand CIHSM is very useful to extract features of NDS according to user's interest. |
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言語 |
en |
| 出版者 |
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出版者 |
進化計算学会 |
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言語 |
ja |
| 出版者版へのリンク |
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表示名 |
10.11394/tjpnsec.8.75 |
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URL |
https://doi.org/10.11394/tjpnsec.8.75 |
| DOI |
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関連タイプ |
isVersionOf |
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識別子タイプ |
DOI |
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関連識別子 |
10.11394/tjpnsec.8.75 |
| 論文ID（NAID） |
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関連タイプ |
isVersionOf |
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識別子タイプ |
NAID |
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関連識別子 |
130006342158 |
| 日本十進分類法 |
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主題Scheme |
NDC |
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主題 |
336 |
| 権利 |
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|
権利情報 |
© 2017 進化計算学会 |
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言語 |
ja |
| 著者版フラグ |
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出版タイプ |
AM |
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出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
| フォーマット |
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内容記述タイプ |
Other |
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内容記述 |
application/pdf |
TJPNSEC_8_2_75_87 (15.1 MB)
