Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: VIII International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-VIII 2023); Krasnoyarsk; Krasnoyarsk
Год издания: 2023
Идентификатор DOI: 10.1051/e3sconf/202339003003
Аннотация: <jats:p>The paper presents an approach to the automatic grouping algorithms development based on parametric optimization models for processing high-volume data in the agrarian and industrial complex. Combined search algorithms with alternating randomized neighborhoods show much more stable results (give a smaller minimum value, andПоказать полностьюalso have a low standard deviation of the target function) and hence better performance compared to known (so-called classical) algorithms, such as j-means and k-means.</jats:p>
Выпуск журнала: 390
Номера страниц: 03003
Место издания: EDP Sciences