Brain storm optimization with adaptive search radius for optimization

Yang Yu, Lei Wu, Hang Yu, Sheng Li, Shi Wang, Shangce Gao

研究成果: 書籍の章/レポート/会議録会議への寄与査読

7 被引用数 (Scopus)

抄録

Brain storm optimization algorithm is a newly proposed algorithm which is based on the social behaviors of human beings. It gets inspiration from the procedure of brain storming to generate new individuals. The properties of brain storming highly ensure the diversity of the whole population and can efficiently eliminate premature convergence. In this paper, an adaptive search radius method has been proposed to help brain storm optimization to enhance its search ability. The proposed algorithm equipped with adaptive search strategies introduces a success and failure memory to choose the best suitable search strategy to improve the individual quality in each iteration. Three strategies can be chosen in the duration of convergence adaptively and guarantee better solutions compared with traditional brain storm optimization.

本文言語英語
ホスト出版物のタイトルProceedings of 2017 International Conference on Progress in Informatics and Computing, PIC 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ394-398
ページ数5
ISBN(電子版)9781538619773
DOI
出版ステータス出版済み - 2017
イベント5th International Conference on Progress in Informatics and Computing, PIC 2017 - Nanjing, 中国
継続期間: 2017/12/152017/12/17

出版物シリーズ

名前Proceedings of 2017 International Conference on Progress in Informatics and Computing, PIC 2017

学会

学会5th International Conference on Progress in Informatics and Computing, PIC 2017
国/地域中国
CityNanjing
Period2017/12/152017/12/17

ASJC Scopus 主題領域

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • 情報システム
  • 信号処理

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