A novel clustering based niching EDA for protein folding

Benhui Chen*, Jinglu Hu

*この研究の対応する著者

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

Protein structure prediction (PSP) is one of the most important problems in computational biology. And it also is a very difficult optimization task, especially for long sequence instances. This paper proposes a novel clustering based niching EDA for HP model folding problem. The EDA individuals are clustered by the affinity propagation clustering method before submitting them to niching clearing. A cluster can be seen as a niche in clearing procedure. The niche clearing radius can be adaptively determined by clustering. And an approach based on Boltzmann scheme is proposed to determine the niche capacity according to the adaptive clearing radius and niche fitness. Experimental results demonstrate that the proposed method outperforms the basic EDAs method. At the same time, it is very competitive with other existing algorithms for the PSP problem on lattice HP models.

本文言語English
ホスト出版物のタイトル2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings
ページ748-753
ページ数6
DOI
出版ステータスPublished - 2009 12 1
イベント2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Coimbatore, India
継続期間: 2009 12 92009 12 11

出版物シリーズ

名前2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings

Conference

Conference2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009
国/地域India
CityCoimbatore
Period09/12/909/12/11

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ サイエンスの応用
  • ソフトウェア

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