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  1. 学会・会議発表論文
  2. 学会・会議発表論文

An Intuitive and Traceable Human-based Evolutionary Computation System for Solving Problems in Human Organizations

http://hdl.handle.net/10228/00007691
http://hdl.handle.net/10228/00007691
0cfa8e34-34cd-4fa7-8149-633c4438e267
名前 / ファイル ライセンス アクション
10344714.pdf 10344714.pdf (399.9 kB)
Item type 会議発表論文 = Conference Paper(1)
公開日 2020-04-03
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_5794
資源タイプ conference paper
タイトル
タイトル An Intuitive and Traceable Human-based Evolutionary Computation System for Solving Problems in Human Organizations
言語 en
言語
言語 eng
著者 大西, 圭

× 大西, 圭

WEKO 20598
e-Rad_Researcher 30419618
Scopus著者ID 17435093000
九工大研究者情報 214

en Ohnishi, Kei

ja 大西, 圭

ja-Kana オオニシ, ケイ

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Yoshikawa, Tomohiro

× Yoshikawa, Tomohiro

WEKO 27287

en Yoshikawa, Tomohiro

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Yu, Tian-Li

× Yu, Tian-Li

WEKO 27288

en Yu, Tian-Li

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抄録
内容記述タイプ Abstract
内容記述 Human-based evolutionary computation (EC), for which people act as executors of all evolutionary operators, can be used to solve problems in human organizations. We previously developed a human-based EC system that represents solutions as tags (words) and allows people to evaluate solutions by clicking corresponding tags. Although the system was easy and intuitive to use, it could not handle problems for which solutions are represented as long sentences. In addition, the system could not trace the evolution of solutions. Traceability is a must for the system to be widely and reliably used. In this study, we thus develop a human-based EC system that allows solutions to be represented as both sentences and tags. A function for tracing the evolution of solutions is embedded into the system. The function asks a solution creator to specify which existing solutions influenced the solution creation. We conduct an experiment in which 18 human subjects use the system and then fill out a survey. The results show that the system creates better solutions than those created by each human subject independently. Furthermore, the evolution tree generated from the information given by solution creators is used to confirm that the system allows the evolution of solutions to be traced.
備考
内容記述タイプ Other
内容記述 Worksop of Interactive Methods @ GECCO (iGECCO 2019) in The Genetic and Evolutionary Computation Conference (GECCO-2019),14th July, 2019, Prague, Czech
出版タイプ
出版タイプ AM
出版タイプResource http://purl.org/coar/version/c_ab4af688f83e57aa
査読の有無
値 yes
研究者情報
URL https://hyokadb02.jimu.kyutech.ac.jp/html/214_ja.html
論文ID(連携)
値 10344714
連携ID
値 8196
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