A framework of grid-oriented genetic algorithms for large-scale optimization in bioinformatics

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

研究成果: Contribution to conferencePaper査読

8 被引用数 (Scopus)

抄録

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 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.

本文言語英語
ページ623-630
ページ数8
DOI
出版ステータス出版済み - 1 1 2003
イベント2003 Congress on Evolutionary Computation, CEC 2003 - Canberra, ACT, オーストラリア
継続期間: 12 8 200312 12 2003

その他

その他2003 Congress on Evolutionary Computation, CEC 2003
Countryオーストラリア
CityCanberra, ACT
Period12/8/0312/12/03

All Science Journal Classification (ASJC) codes

  • Computational Mathematics

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