A grid-oriented genetic algorithm framework for bioinformatics

Hiroaki Imade, Ryohei Morishita, Isao Ono, Norihiko Ono, Masahiro Okamoto

研究成果: Contribution to journalArticle

31 引用 (Scopus)

抜粋

In this paper, we propose a framework for enabling for researchers of genetic algorithms (GAs) to easily develop GAs running on the Grid, named "Grid-Oriented Genetic algorithms (GOGAs)", and actually "Gridify" a GA for estimating genetic networks, which is being developed by our group, in order to examine the usability of the proposed GOGA framework. We also evaluate the scalability of the "Gridified" GA by applying it to a five-gene genetic network estimation problem on a grid testbed constructed in our laboratory.

元の言語英語
ページ(範囲)177-186
ページ数10
ジャーナルNew Generation Computing
22
発行部数2
DOI
出版物ステータス出版済み - 1 1 2004

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computer Networks and Communications

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  • これを引用

    Imade, H., Morishita, R., Ono, I., Ono, N., & Okamoto, M. (2004). A grid-oriented genetic algorithm framework for bioinformatics. New Generation Computing, 22(2), 177-186. https://doi.org/10.1007/BF03040956