A grid-oriented genetic algorithm framework for bioinformatics

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

Research output: Contribution to journalArticle

31 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)177-186
Number of pages10
JournalNew Generation Computing
Volume22
Issue number2
DOIs
Publication statusPublished - Jan 1 2004

All Science Journal Classification (ASJC) codes

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

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    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