Analytical estimation of the convergence point of populations

Noboru Murata, Ryuei Nishii, Hideyuki Takagi, Yan Pei

研究成果: Conference contribution

8 被引用数 (Scopus)

抄録

We propose methods of estimating the convergence point for the moving vectors of individuals between generations or evolution paths and show that the estimated convergence point can be useful information for accelerating evolutionary computation (EC). As the first stage of this new approach, we do not combine the proposed methods with EC search in this paper, but rather evaluate how power an individual the the estimated convergence point is by comparing fitness values. Through experimental evaluations, we show that the estimated point can be a powerful elite for unimodal fitness landscapes and that clustering moving vectors according to the aimed points is the next research target for multimodal fitness landscape.

本文言語English
ホスト出版物のタイトル2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ2619-2624
ページ数6
ISBN(電子版)9781479974924
DOI
出版ステータスPublished - 2015 9 10
イベントIEEE Congress on Evolutionary Computation, CEC 2015 - Sendai, Japan
継続期間: 2015 5 252015 5 28

出版物シリーズ

名前2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings

Other

OtherIEEE Congress on Evolutionary Computation, CEC 2015
CountryJapan
CitySendai
Period15/5/2515/5/28

ASJC Scopus subject areas

  • Computer Science Applications
  • Computational Mathematics

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