A grid-oriented genetic algorithm framework for bioinformatics

Authors:
Hiroaki Imade;Ryohei Morishita;Isao Ono;Norihiko Ono;Masahiro Okamoto
Affiliations:
The University of Tokushima, 2-1 Minamijosanjima, Tokushima, 770-8506, Japan;The University of Tokushima, 2-1 Minamijosanjima, Tokushima, 770-8506, Japan;The University of Tokushima, 2-1 Minamijosanjima, Tokushima, 770-8506, Japan;The University of Tokushima, 2-1 Minamijosanjima, Tokushima, 770-8506, Japan;Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka, 812-8581, Japan
Venue:
New Generation Computing - Grid systems for life sciences
Year:
2004

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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.