Adaptive Genetic Algorithm with Optimized Operators for Scheduling in Computer Systems Full article
| Conference |
Intelligent Information Processing XII 03-06 May 2024 , Shenzhen |
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| Source | Intelligent Information Processing XII : 13th IFIP TC 12 International Conference, IIP 2024, Shenzhen, China, May 3–6, 2024, Proceedings Compilation, Springer. 2024. 505 c. ISBN 978-3-031-57808-3. |
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| Journal |
IFIP Advances in Information and Communication Technology
ISSN: 1868-4238 , E-ISSN: 1868-422X |
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| Output data | Year: 2024, Volume: Part 1, Pages: 317-328 Pages count : 12 DOI: 10.1007/978-3-031-57808-3_23 | ||
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| Affiliations |
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Funding (1)
| 1 | Russian Science Foundation | 22-71-10015 |
Cite:
Zakharova Y.V.
, Sakhno M.Y.
Adaptive Genetic Algorithm with Optimized Operators for Scheduling in Computer Systems
In compilation Intelligent Information Processing XII : 13th IFIP TC 12 International Conference, IIP 2024, Shenzhen, China, May 3–6, 2024, Proceedings. – Springer., 2024. – Т.Part I. – C.317-328. – ISBN 978-3-031-57808-3. DOI: 10.1007/978-3-031-57808-3_23 Scopus OpenAlex
Adaptive Genetic Algorithm with Optimized Operators for Scheduling in Computer Systems
In compilation Intelligent Information Processing XII : 13th IFIP TC 12 International Conference, IIP 2024, Shenzhen, China, May 3–6, 2024, Proceedings. – Springer., 2024. – Т.Part I. – C.317-328. – ISBN 978-3-031-57808-3. DOI: 10.1007/978-3-031-57808-3_23 Scopus OpenAlex
Dates:
| Published print: | Apr 6, 2024 |
| Published online: | Apr 6, 2024 |
Identifiers:
| Scopus: | 2-s2.0-85190657685 |
| OpenAlex: | W4393977319 |
Citing:
| DB | Citing |
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| Scopus | 1 |