Реєстраційний номер
2123U001983, Матеріали видань та локальних репозитаріїв
Категорія
Стаття
Назва роботи
Adaptive Metaheuristic Methods Based on the Covid-19 Virus’ Behavior and Measures for Fight It
Автор
Fedorov Eugene
Nechyporenko Olga
Leshchenko Marina
Rudakov Kostiantyn
Utkina Tetiana
Lada Nataliia
Fedorov Eugene
Nechyporenko Olga
Leshchenko Marina
Rudakov Kostiantyn
Utkina Tetiana
Lada Nataliia
Дата публікації
01-01-2023
Постачальник інформації
Черкаський державний технологічний університет
Першоджерело
https://er.chdtu.edu.ua/handle/ChSTU/5368
Видання
CEUR Workshop Proceedings
Опис
The research proposes the numerical optimization methods are based on metaheuristic methods
on the basis of COVID-19 virus' behavior and measures to fight it. The novelty of research is
defined by the fact, that to increase the numerical optimization efficiency, the following issues
were developed. The anti-coronavirus optimization, which uses the normalized distance
between people in an explicit form and the dynamic Levy flight parameter to modify the vector
of human health characteristics at the stage of social distancing was improved. A power-law
parameter to calculate the dynamic number of the weakest people was proposed. A local search
based on the number account of days in quarantine to modify the vector of human health
characteristics at the quarantine stage, arithmetic crossover based on the number of days in
isolation to modify the vector of human health characteristics at the isolation stage were
developed. A coronavirus optimization algorithm that uses dynamic mutation probability to
modify the virion vector and coronavirus herd immunity optimizer that uses dynamic mutation
probability to modify an individual's characteristic vector were improved. The proposed
methods improve the speed and accuracy of finding a solution. The created metaheuristic
methods based on the behavior of the COVID-19 virus and measures to fight it can be used in
general and special-purpose intelligent systems
Додано/оновлено в НРАТ
2026-04-27
