Publication detail

GPU-Based Acceleration of the Genetic Algorithm

POSPÍCHAL, P.

Original Title

GPU-Based Acceleration of the Genetic Algorithm

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

Genetic algorithm, a robust, stochastic optimization technique, is effective in solving manypractical problems in science, engineering, and business domains. Unfortunatelly, executionusually takes long time. In this paper, we study a possibility of utilization consumer-levelgraphics cards for acceleration of GAs. We have designed a mapping of the parallel islandgenetic algorithm to the CUDA software model and tested our implementation on GeForce8800GTX and GTX285 GPUs using a Rosenbrock's, Griewank's and Michalewicz's benchmarkfunctions. Results indicates that our optimization leads to speedups up to seven thousand timescompared to single CPU thread while maintaing reasonable results quality.

Keywords

genetic algorithm, CUDA, GPU, migrations, island model

Authors

POSPÍCHAL, P.

RIV year

2010

Released

29. 4. 2010

Publisher

Faculty of Information Technology BUT

Location

Brno

ISBN

978-80-214-4080-7

Book

Proceedings of the 16th Conference Student EEICT 2010 Volume 5

Pages from

234

Pages to

238

Pages count

5

URL

http://www.feec.vutbr.cz/EEICT/2010/sbornik/03-Doktorske_projekty/09-Pocitacove_systemy/03-xpospi45.pdf

BibTex

@inproceedings{BUT35531,
  author="Petr {Pospíchal}",
  title="GPU-Based Acceleration of the Genetic Algorithm",
  booktitle="Proceedings of the 16th Conference Student EEICT 2010 Volume 5",
  year="2010",
  pages="234--238",
  publisher="Faculty of Information Technology BUT",
  address="Brno",
  isbn="978-80-214-4080-7",
  url="http://www.feec.vutbr.cz/EEICT/2010/sbornik/03-Doktorske_projekty/09-Pocitacove_systemy/03-xpospi45.pdf"
}