Use of schedule theory algorithms for task planning and time management tasks
Good time management is a key factor in the success of work tasks and project management. In particular, scheduling tasks are an important part of workflow organization. An efficiently created schedule allows you to optimize time and resources, increasing the efficiency and quality of work performe...
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| Format: | Article |
| Language: | English |
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Igor Sikorsky Kyiv Polytechnic Institute
2024-10-01
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| Series: | Adaptivni Sistemi Avtomatičnogo Upravlinnâ |
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| Online Access: | https://asac.kpi.ua/article/view/313201 |
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| _version_ | 1849424583617150976 |
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| author | М. Шматко О. Жураковська |
| author_facet | М. Шматко О. Жураковська |
| author_sort | М. Шматко |
| collection | DOAJ |
| description |
Good time management is a key factor in the success of work tasks and project management. In particular, scheduling tasks are an important part of workflow organization. An efficiently created schedule allows you to optimize time and resources, increasing the efficiency and quality of work performed. To solve scheduling problems, the theory of scheduling is used. At the moment, there are many algorithms for solving such tasks, but the algorithms must be customized to specific conditions, while ensuring the quality of the task and performance. In this article, we propose a hybrid algorithm that combines elements of evolutionary and greedy approaches to solve the problems of schedule theory.
Ref. 5, fig. 6, tab. 1.
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| format | Article |
| id | doaj-art-0ca2e9eaf9a74ec8953d5191bf21eaef |
| institution | Kabale University |
| issn | 1560-8956 2522-9575 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Igor Sikorsky Kyiv Polytechnic Institute |
| record_format | Article |
| series | Adaptivni Sistemi Avtomatičnogo Upravlinnâ |
| spelling | doaj-art-0ca2e9eaf9a74ec8953d5191bf21eaef2025-08-20T03:30:08ZengIgor Sikorsky Kyiv Polytechnic InstituteAdaptivni Sistemi Avtomatičnogo Upravlinnâ1560-89562522-95752024-10-0124510.20535/1560-8956.45.2024.313201351735Use of schedule theory algorithms for task planning and time management tasksМ. Шматко0О. Жураковська1Igor Sikorsky Kyiv Polytechnic InstituteIgor Sikorsky Kyiv Polytechnic Institute Good time management is a key factor in the success of work tasks and project management. In particular, scheduling tasks are an important part of workflow organization. An efficiently created schedule allows you to optimize time and resources, increasing the efficiency and quality of work performed. To solve scheduling problems, the theory of scheduling is used. At the moment, there are many algorithms for solving such tasks, but the algorithms must be customized to specific conditions, while ensuring the quality of the task and performance. In this article, we propose a hybrid algorithm that combines elements of evolutionary and greedy approaches to solve the problems of schedule theory. Ref. 5, fig. 6, tab. 1. https://asac.kpi.ua/article/view/313201schedule theorytask schedulingevolutionary algorithmgreedy algorithmtime-management |
| spellingShingle | М. Шматко О. Жураковська Use of schedule theory algorithms for task planning and time management tasks Adaptivni Sistemi Avtomatičnogo Upravlinnâ schedule theory task scheduling evolutionary algorithm greedy algorithm time-management |
| title | Use of schedule theory algorithms for task planning and time management tasks |
| title_full | Use of schedule theory algorithms for task planning and time management tasks |
| title_fullStr | Use of schedule theory algorithms for task planning and time management tasks |
| title_full_unstemmed | Use of schedule theory algorithms for task planning and time management tasks |
| title_short | Use of schedule theory algorithms for task planning and time management tasks |
| title_sort | use of schedule theory algorithms for task planning and time management tasks |
| topic | schedule theory task scheduling evolutionary algorithm greedy algorithm time-management |
| url | https://asac.kpi.ua/article/view/313201 |
| work_keys_str_mv | AT mšmatko useofscheduletheoryalgorithmsfortaskplanningandtimemanagementtasks AT ožurakovsʹka useofscheduletheoryalgorithmsfortaskplanningandtimemanagementtasks |