Practical aspects of using of parallel computing in genetic algorithm
Practical implementation methods for parallel computations in the genetic algorithm for discrete optimization, using the example of calculating dimensional chains are considered. An approach for determining the boundary dimensions of population on the basis of probability calculating for independent...
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| Format: | Article |
| Language: | Russian |
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Educational institution «Belarusian State University of Informatics and Radioelectronics»
2019-06-01
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| Series: | Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki |
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| Online Access: | https://doklady.bsuir.by/jour/article/view/1007 |
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| _version_ | 1849398325082587136 |
|---|---|
| author | V. V. Frolov |
| author_facet | V. V. Frolov |
| author_sort | V. V. Frolov |
| collection | DOAJ |
| description | Practical implementation methods for parallel computations in the genetic algorithm for discrete optimization, using the example of calculating dimensional chains are considered. An approach for determining the boundary dimensions of population on the basis of probability calculating for independent random events is proposed. |
| format | Article |
| id | doaj-art-f105de34c59542f1b33559ab9e46ff1e |
| institution | Kabale University |
| issn | 1729-7648 |
| language | Russian |
| publishDate | 2019-06-01 |
| publisher | Educational institution «Belarusian State University of Informatics and Radioelectronics» |
| record_format | Article |
| series | Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki |
| spelling | doaj-art-f105de34c59542f1b33559ab9e46ff1e2025-08-20T03:38:38ZrusEducational institution «Belarusian State University of Informatics and Radioelectronics»Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki1729-76482019-06-010524301006Practical aspects of using of parallel computing in genetic algorithmV. V. Frolov0Харьковский национальный университет имени В.Н. Каразина, УкраинаPractical implementation methods for parallel computations in the genetic algorithm for discrete optimization, using the example of calculating dimensional chains are considered. An approach for determining the boundary dimensions of population on the basis of probability calculating for independent random events is proposed.https://doklady.bsuir.by/jour/article/view/1007genetic algorithmpopulationcrossovermutation |
| spellingShingle | V. V. Frolov Practical aspects of using of parallel computing in genetic algorithm Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki genetic algorithm population crossover mutation |
| title | Practical aspects of using of parallel computing in genetic algorithm |
| title_full | Practical aspects of using of parallel computing in genetic algorithm |
| title_fullStr | Practical aspects of using of parallel computing in genetic algorithm |
| title_full_unstemmed | Practical aspects of using of parallel computing in genetic algorithm |
| title_short | Practical aspects of using of parallel computing in genetic algorithm |
| title_sort | practical aspects of using of parallel computing in genetic algorithm |
| topic | genetic algorithm population crossover mutation |
| url | https://doklady.bsuir.by/jour/article/view/1007 |
| work_keys_str_mv | AT vvfrolov practicalaspectsofusingofparallelcomputingingeneticalgorithm |