The effect of user interaction mechanisms in multi-objective IGA

Alexandra Melike Brintrup, Hideyuki Takagi

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

4 被引用数 (Scopus)

抄録

In this paper four mechanisms, fine and coarse grained fitness rating, linguistic evaluation and active user intervention are compared for use in the multi-objective IGA. The interaction mechanisms are tested on the ergonomic chair design problem. The active user intervention mechanism provided the best fitness convergence but resulted in the least diverse results. The fine grained evaluation provided a good blend of fitness convergence and diversity while the popular coarse grained discrete rating provided poor results. Linguistic evaluation resulted in poor qualitative fitness despite its fast speed of evaluation. The significant differences between interaction mechanisms show the need for further research.

本文言語英語
ホスト出版物のタイトルProceedings of GECCO 2007
ホスト出版物のサブタイトルGenetic and Evolutionary Computation Conference, Companion Material
ページ2629-2632
ページ数4
DOI
出版ステータス出版済み - 8 27 2007
イベント9th Annual Genetic and Evolutionary Computation Conference, GECCO 2007 - London, 英国
継続期間: 7 7 20077 11 2007

出版物シリーズ

名前Proceedings of GECCO 2007: Genetic and Evolutionary Computation Conference, Companion Material

その他

その他9th Annual Genetic and Evolutionary Computation Conference, GECCO 2007
Country英国
CityLondon
Period7/7/077/11/07

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software
  • Theoretical Computer Science

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