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

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

Title:	The use of a genetic algorithm to solve the problem of distribution of workload
Authors:	Shpakova, J.
Keywords:	crossing generation genetic algorithm mutation selection генетический алгоритм учебная нагрузка
Issue Date:	2022
Publisher:	Витебск : ВГУ имени П. М. Машерова
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.).
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.
URI:	https://rep.vsu.by/handle/123456789/35825
ISBN:	978-985-517-981-9
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.