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Detail publikace
ŠKORPIL, V. OUJEZSKÝ, V. TULEJA, M.
Originální název
Testing of Python Models of Parallelized Genetic Algorithms
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The paper describes the testing of three models (master slave, fine-grained, and coarse grained) of parallelized genetic algorithms and the comparison of their computational time with each other and with the basic serial model. The analysis of the number of iterations, the load of the main memory and the central processing unit is the subject of other contributions. Corresponding Python modules have been implemented for these models. A test scenario and a test environment were prepared. Testing was realized on a Linux server with the Ubuntu operating system. A RabbitMQ server creating processes by the SCOOP module on the selected workstation was used. Models have been tested by a single-workstation and multi-workstation scenarios. The tested models bring time savings and efficiency improvement compared to the serial model; the fastest was the fine-grained model.
Klíčová slova
coarse-grained; fine-grained; master-slave; model; parallelized genetic algorithm; Python; Ubuntu
Autoři
ŠKORPIL, V.; OUJEZSKÝ, V.; TULEJA, M.
Vydáno
7. 7. 2020
Nakladatel
IEEE
Místo
Milan, Italy
ISBN
978-1-7281-6376-5
Kniha
Proceedings of the 43 rd International Conference on Telecommunications and Signal Processing
Strany od
235
Strany do
238
Strany počet
4
URL
https://ieeexplore.ieee.org/document/9163475
BibTex
@inproceedings{BUT167257, author="Vladislav {Škorpil} and Václav {Oujezský} and Martin {Tuleja}", title="Testing of Python Models of Parallelized Genetic Algorithms", booktitle="Proceedings of the 43 rd International Conference on Telecommunications and Signal Processing", year="2020", pages="235--238", publisher="IEEE", address="Milan, Italy", doi="10.1109/TSP49548.2020.9163475", isbn="978-1-7281-6376-5", url="https://ieeexplore.ieee.org/document/9163475" }