Acceptability of a decision maker to handle multi-objective optimization on design space

Makoto Inoue, Hibiki Matsumoto, Hideyuki Takagi

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

抄録

We introduce the acceptability of a decision maker to handle evolutionary multi-objective optimization (EMO) on design space, while most of EMO research tries to find many solutions on an objective space and passes them to a decision maker. Unlike this conventional EMO approaches, our approach decides maker's model with the concept of acceptability and introduces it in EMO search. Especially, this approach works well when qualitative factors, such as the decision maker's experience and knowledge on a task, are a part of evaluations. Acceptability functions for each of objectives are aggregated firstly, and the aggregated acceptability forms contours on an objective space and is mapped on a design space. The acceptability contours on a design space can narrow down the area of solutions. We could find better solutions in our experiments than the conventional approach of searching solutions on an objective space.

本文言語英語
ホスト出版物のタイトル2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728197326
DOI
出版ステータス出版済み - 12 5 2020
イベントJoint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020 - Virtual, Tokyo, 日本
継続期間: 12 5 202012 8 2020

出版物シリーズ

名前2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020

会議

会議Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020
国/地域日本
CityVirtual, Tokyo
Period12/5/2012/8/20

All Science Journal Classification (ASJC) codes

  • 人工知能
  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識
  • ソフトウェア
  • 計算数学

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