A grid-oriented genetic algorithm framework for bioinformatics

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

doi:10.1007/BF03040956

A grid-oriented genetic algorithm framework for bioinformatics

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

Systems Biology

Research output: Contribution to journal › Article › peer-review

19 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 language	English
Pages (from-to)	177-186
Number of pages	10
Journal	New Generation Computing
Volume	22
Issue number	2
DOIs	https://doi.org/10.1007/BF03040956
Publication status	Published - 2004

All Science Journal Classification (ASJC) codes

Software
Theoretical Computer Science
Hardware and Architecture
Computer Networks and Communications

Access to Document

10.1007/BF03040956

Cite this

@article{9f65ec0fb70040eea6704909e2534179,

title = "A grid-oriented genetic algorithm framework for bioinformatics",

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.",

author = "Hiroaki Imade and Ryohei Morishita and Isao Ono and Norihiko Ono and Masahiro Okamoto",

note = "Funding Information: This work was partially supported by the Grants-in-Aid for Scientific Research on Priority Areas, {"}Genome Information Sciences{"} (No.12208008) from the Ministry of Education, Culture, Sports, Science and Technology in Japan.",

year = "2004",

doi = "10.1007/BF03040956",

language = "English",

volume = "22",

pages = "177--186",

journal = "New Generation Computing",

issn = "0288-3635",

publisher = "Springer Japan",

number = "2",

}

TY - JOUR

T1 - A grid-oriented genetic algorithm framework for bioinformatics

AU - Imade, Hiroaki

AU - Morishita, Ryohei

AU - Ono, Isao

AU - Ono, Norihiko

AU - Okamoto, Masahiro

N1 - Funding Information: This work was partially supported by the Grants-in-Aid for Scientific Research on Priority Areas, "Genome Information Sciences" (No.12208008) from the Ministry of Education, Culture, Sports, Science and Technology in Japan.

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=1642408469&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=1642408469&partnerID=8YFLogxK

U2 - 10.1007/BF03040956

DO - 10.1007/BF03040956

M3 - Article

AN - SCOPUS:1642408469

SN - 0288-3635

VL - 22

SP - 177

EP - 186

JO - New Generation Computing

JF - New Generation Computing

IS - 2

ER -

A grid-oriented genetic algorithm framework for bioinformatics

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this