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  1. B200 工学部/工学研究科
  2. B200a 雑誌掲載論文
  3. 学術雑誌

A Proposal of Visualization of Multi-Objective Pareto Solutions -Development of Mining Technique for Solutions-

http://hdl.handle.net/2237/9482
http://hdl.handle.net/2237/9482
df645ef6-94a1-4df2-b3b2-b6bf69843703
名前 / ファイル ライセンス アクション
yoshikawa_1.pdf yoshikawa_1.pdf (233.0 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2008-02-26
タイトル
タイトル A Proposal of Visualization of Multi-Objective Pareto Solutions -Development of Mining Technique for Solutions-
言語 en
著者 Yoshikawa, Tomohiro

× Yoshikawa, Tomohiro

WEKO 22018

en Yoshikawa, Tomohiro

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Yamashiro, Daisuke

× Yamashiro, Daisuke

WEKO 22019

en Yamashiro, Daisuke

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Furuhashi, Takeshi

× Furuhashi, Takeshi

WEKO 22020

en Furuhashi, Takeshi

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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
権利
言語 en
権利情報 Copyright © 2007 IEEE. Reprinted from (relevant publication info). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Nagoya University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.
抄録
内容記述 Recently, the rapid progresses of computers introduce evolutionary computations to next step, which is the demand for the variety of Pareto solutions in multi-objective optimization problems. We can calculate a large amount of Pareto solutions in a short time. However, it is difficult to use the acquired Pareto solutions effectively, because the Pareto solutions have multi-dimension of fitness values. This study tries to develop “Mining of solutions” technique with visualization. This paper proposes a visualizing method for Pareto solutions which have multi-objective fitness values. The proposed method enables us to grasp the distributed structure of Pareto solutions and clarify the relationship among multi-objective fitness values. This paper shows that the visualized data enables us to interpret the characteristics of Pareto solutions through experimental result.
言語 en
内容記述タイプ Abstract
出版者
言語 en
出版者 IEEE
言語
言語 eng
資源タイプ
資源タイプresource http://purl.org/coar/resource_type/c_6501
タイプ journal article
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1109/MCDM.2007.369407
ISBN
関連タイプ isPartOf
識別子タイプ ISBN
関連識別子 1-4244-0702-8
書誌情報 en : IEEE Symposium on Computational Intelligence in Multicriteria Decision Making

p. 172-177, 発行日 2007
フォーマット
application/pdf
著者版フラグ
値 publisher
URI
識別子 http://hdl.handle.net/2237/9482
識別子タイプ HDL
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