71991

Автор(ы): 

Пащенко А. Ф. (ИПУ РАН, Лаборатория 40)
Тордия М. Д. (ИПУ РАН, Лаборатория 40) НЕАКТУАЛЬНАЯ ЗАПИСЬ

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

Genetic Algorithm Based Approach for Optimal Scheduling Problem in Agricultural Industry

DOI: 

10.1109/SUMMA57301.2022.9974033

Наименование конференции: 

  • 4nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA2022, Lipetsk)

Наименование источника: 

  • Proceedings of the 4th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA)

Город: 

  • Липецк

Издательство: 

  • IEEE

Год издания: 

2022

Страницы: 

342-346 https://ieeexplore.ieee.org/document/9974033
Аннотация
The paper considers the problem of production planning in the field of agriculture. The structure of the model for searching for the optimal schedule of agricultural works has been developed, and a genetic algorithm for searching for the priority vector has been created. Simulation modeling of three experiments of varying complexity was carried out, confirming the effectiveness of the implemented model

Библиографическая ссылка: 

Пащенко А.Ф., Тордия М.Д. Genetic Algorithm Based Approach for Optimal Scheduling Problem in Agricultural Industry / Proceedings of the 4th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA). Липецк: IEEE, 2022. С. 342-346 https://ieeexplore.ieee.org/document/9974033.