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

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

Research output: Contribution to conferencePaperpeer-review

8 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 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
Pages623-630
Number of pages8
DOIs
Publication statusPublished - Jan 1 2003
Event2003 Congress on Evolutionary Computation, CEC 2003 - Canberra, ACT, Australia
Duration: Dec 8 2003Dec 12 2003

Other

Other2003 Congress on Evolutionary Computation, CEC 2003
CountryAustralia
CityCanberra, ACT
Period12/8/0312/12/03

All Science Journal Classification (ASJC) codes

  • Computational Mathematics

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