Interactive evolutionary computation with evaluation characteristics of multi-IEC users

Shinya Henmi, Shino Iwashita, Hideyuki Takagi

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

11 被引用数 (Scopus)

抄録

We (1) propose a method for accelerating the convergence of interactive evolutionary computation (IEC) by incorporating multiple evaluation models of previous IEC users, (2) evaluate the method's performance according to the similarity metric of users' evaluation characteristics, and (3) investigate its practical usefulness by measuring users' evaluation characteristics for real-world applications on the metric. Although conventional IEC with a function learning the current IEC user's evaluation characteristics cannot use the evaluation characteristics until the model is learned, the proposed IEC uses models learned from previous users until the current user's behavior is learned. The model from a previous IEC user whose evaluation values are most similar to those of the current IEC user is selected and used instead of the current IEC user's model till the current user's model is leaned. The viability of this method is evaluated on similarity distance of evaluation characteristics with simulation, and the simulation results are compared with the real IEC user's evaluation characteristics for four different types of real applications. Through this evaluation, we obtain a rating method for predicting the effectiveness of the proposed acceleration method for different types of IEC applications.

本文言語英語
ホスト出版物のタイトル2006 IEEE International Conference on Systems, Man and Cybernetics
ページ3475-3480
ページ数6
4
DOI
出版ステータス出版済み - 2007
イベント2006 IEEE International Conference on Systems, Man and Cybernetics - Taipei, 台湾
継続期間: 10月 8 200610月 11 2006

その他

その他2006 IEEE International Conference on Systems, Man and Cybernetics
国/地域台湾
CityTaipei
Period10/8/0610/11/06

!!!All Science Journal Classification (ASJC) codes

  • 工学(全般)

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