Publication detail

Parallel Processing of Genetic Algorithms in Python Language

ŠKORPIL, V. OUJEZSKÝ, V. ČÍKA, P. TULEJA, M.

Original Title

Parallel Processing of Genetic Algorithms in Python Language

Type

conference paper

Language

English

Original Abstract

Modern genetic algorithms are derived from natural laws and phenomenons and belong to evolutionary algorithms. Genetic algorithms are, by their very nature, suitable for parallel processing that leads to increased speed and to optimization. The paper deals with selected ways of parallelization of genetic algorithms with subsequent implementation. Parallelization brings an increase in algorithm speed and load distribution, which is compared to a serial model. Python language is used for demonstration. Four Python modules have been selected to provide parallel processing. They are the Global One - Population Master-Slave Model, the One-Population Fine-Grained Model, the Multi-Population Coarse-Grained Model, and the Hierarchical Model.

Keywords

genetic algorithm; parallel processing; model; Python

Authors

ŠKORPIL, V.; OUJEZSKÝ, V.; ČÍKA, P.; TULEJA, M.

Released

17. 6. 2019

Publisher

IEEE

Location

Rome, Italy

ISBN

978-4-88552-316-8

Book

2019 Progress in Electomagnetics Research Symposium (PIERS - Rome)

ISBN

1559-9450

Periodical

Progress In Electromagnetics

State

United States of America

Pages from

3727

Pages to

3731

Pages count

5

URL

https://ieeexplore.ieee.org/abstract/document/9017332

BibTex

@inproceedings{BUT159755,
  author="Vladislav {Škorpil} and Václav {Oujezský} and Petr {Číka} and Martin {Tuleja}",
  title="Parallel Processing of Genetic Algorithms in Python Language",
  booktitle="2019 Progress in Electomagnetics Research Symposium (PIERS - Rome)",
  year="2019",
  journal="Progress In Electromagnetics",
  pages="3727--3731",
  publisher="IEEE",
  address="Rome, Italy",
  doi="10.1109/PIERS-Spring46901.2019.9017332",
  isbn="978-4-88552-316-8",
  issn="1559-9450",
  url="https://ieeexplore.ieee.org/abstract/document/9017332"
}