Parallel Processing of Genetic Algorithms in Python Language
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F19%3APU134025" target="_blank" >RIV/00216305:26220/19:PU134025 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/abstract/document/9017332" target="_blank" >https://ieeexplore.ieee.org/abstract/document/9017332</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/PIERS-Spring46901.2019.9017332" target="_blank" >10.1109/PIERS-Spring46901.2019.9017332</a>
Alternative languages
Result language
angličtina
Original language name
Parallel Processing of Genetic Algorithms in Python Language
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2019 Progress in Electomagnetics Research Symposium (PIERS - Rome)
ISBN
978-4-88552-316-8
ISSN
1559-9450
e-ISSN
—
Number of pages
5
Pages from-to
3727-3731
Publisher name
IEEE
Place of publication
Rome, Italy
Event location
Řím
Event date
Jun 17, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000550769303121