Estimation of Influence of Each Variable on User's Evaluation in Interactive Evolutionary Computation

Ryohei Funaki, Kentaro Sugimoto, Junichi Murata

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

Recently, interactive evolutionary computation (IEC) has been extensively applied in those systems that recommend objects, such as images and sounds, to users based on their preference. If an IEC user's evaluation criteria are clearly known, they can be utilized for acceleration of IEC, merchandise development, and creativity support for designers. It is difficult to collect a large volume of evaluation data for their analysis because an IEC user cannot repeat the evaluation so many times. Therefore, the technique proposed in this study adopts paired comparison-based interactive differential evolution (IDE) to ease the burden of users, and it will extract the user evaluation criteria through less number of evaluation steps. These techniques estimate the user evaluation criteria using the distribution of solutions because IDE does not receive the evaluation values from its user. Techniques are proposed that estimate, through the IEC processes, the degree of influence of each variable on the evaluation by any given user. During the simulations, the proposed methods are evaluated on test problems.

本文言語英語
ホスト出版物のタイトル2018 9th International Conference on Awareness Science and Technology, iCAST 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ167-174
ページ数8
ISBN(電子版)9781538658260
DOI
出版ステータス出版済み - 10 31 2018
イベント9th International Conference on Awareness Science and Technology, iCAST 2018 - Fukuoka, 日本
継続期間: 9 19 20189 21 2018

出版物シリーズ

名前2018 9th International Conference on Awareness Science and Technology, iCAST 2018

その他

その他9th International Conference on Awareness Science and Technology, iCAST 2018
Country日本
CityFukuoka
Period9/19/189/21/18

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Human-Computer Interaction
  • Information Systems and Management
  • Experimental and Cognitive Psychology
  • Social Psychology
  • Communication

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