The use of a genetic algorithm to solve the problem of distribution of workload

Shpakova, J.

Please use this identifier to cite or link to this item: https://rep.vsu.by/handle/123456789/35825

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DC Field	Value	Language
dc.contributor.author	Shpakova, J.	-
dc.date.accessioned	2022-12-19 15:35:03.000+03	-
dc.date.available	2022-12-19 15:35:03.000+03	-
dc.date.issued	2022	-
dc.identifier.citation	Shpakova, J. The use of a genetic algorithm to solve the problem of distribution of workload / J. Shpakova // The Youth of the 21st Century: Education, Science, Innovations : Proceedings of IX International Conference for Students, Postgraduates and Young Scientists, Vitebsk, December 9, 2022. – Vitebsk : VSU named after P. M. Masherov, 2022. – P. 22–23. – Bibliogr.: p. 23 (2 nam.).	ru_RU
dc.identifier.isbn	978-985-517-981-9	-
dc.identifier.other	4c2e6eee13522d9fb2c7638700366e2c	-
dc.identifier.uri	https://rep.vsu.by/handle/123456789/35825	-
dc.description.abstract	One of the topical tasks of the organization of the educational process in a higher educational institution is the task of automated formation of the workload at the departments. The data of the academic workload of the department of applied and system programming were used as initial data. The main research method was a genetic algorithm.	ru_RU
dc.language.iso	en	ru_RU
dc.publisher	Витебск : ВГУ имени П. М. Машерова	ru_RU
dc.subject	crossing	ru_RU
dc.subject	generation	ru_RU
dc.subject	genetic algorithm	ru_RU
dc.subject	mutation	ru_RU
dc.subject	selection	ru_RU
dc.subject	генетический алгоритм	ru_RU
dc.subject	учебная нагрузка	ru_RU
dc.title	The use of a genetic algorithm to solve the problem of distribution of workload	ru_RU
dc.type	Article	ru_RU
Appears in Collections:	The Youth of the 21st Century: Education, Science, Innovations : Proceedings of IX International Conference for Students, Postgraduates and Young Scientists, Vitebsk, December 9, 2022. – Vitebsk : VSU named after P. M. Masherov, 2022. – 402 р.