Estimation of the convergence points of a population using an individual pool

Jun Yu, 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

3 被引用数 (Scopus)

抄録

We employ an individual pool to increase the precision of the estimated convergence points of a population by using individual information from past generations. Better individuals from past generations are kept in the pool, and poorer individuals are replaced with new better individuals when the pool becomes full; convergence points for the population are thus estimated using those individuals from the pool that keeps excellent individuals in past generations. The estimated convergence points are used as elite individuals, and replace the worse individuals in current population to accelerate evolutionary computation. Besides the proposed basic pool storage mechanism, we further develop an extended version which enhances the interaction between an individual pool and the population in the latest generation. We evaluate these proposed methods using differential evolution and 14 benchmark functions. The experimental results show that introducing an individual pool can improve the convergence speed and accuracy with the same computational cost, and the extended version could further enhance the accelerated effect in almost all cases.

本文言語英語
ホスト出版物のタイトル2017 IEEE 10th International Workshop on Computational Intelligence and Applications, IWCIA 2017 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ67-72
ページ数6
ISBN(電子版)9781538604694
DOI
出版ステータス出版済み - 12月 13 2017
イベント10th IEEE International Workshop on Computational Intelligence and Applications, IWCIA 2017 - Hiroshima, 日本
継続期間: 11月 11 201711月 12 2017

出版物シリーズ

名前2017 IEEE 10th International Workshop on Computational Intelligence and Applications, IWCIA 2017 - Proceedings
2017-December

その他

その他10th IEEE International Workshop on Computational Intelligence and Applications, IWCIA 2017
国/地域日本
CityHiroshima
Period11/11/1711/12/17

!!!All Science Journal Classification (ASJC) codes

  • 人工知能
  • ハードウェアとアーキテクチャ
  • ソフトウェア
  • 制御と最適化

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