title: ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð°, Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð½Ð¾Ð³Ð¾ Ð½Ð° Ð¶Ð¸Ð·Ð½ÐµÐ½Ð½Ð¾Ð¼ ÑÐ¸ÐºÐ»Ðµ ÑÐµÐ¿Ð»Ð¸ÐºÐ°ÑÐ¸Ð¸ ÐºÐ¾ÑÐ¾Ð½Ð°Ð²Ð¸ÑÑÑÐ½Ð¾Ð¹ Ð±Ð¾Ð»ÐµÐ·Ð½Ð¸ Ð´Ð»Ñ ÑÐµÑÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°Ñ Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ð¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Research of algorithm based on the life cycle of coronavirus replication to solve optimization problems
Creators: name: Ð¡Ð¸Ð¼Ð¾Ð½Ð¾Ð²Ð°, ÐÐ²Ð³ÐµÐ½Ð¸Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ñ
Ð¼ÐµÑÐ¾Ð´Ñ Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ð¸
ÑÐ²Ð¾Ð»ÑÑÐ¸Ð¾Ð½Ð½ÑÐµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ
ÑÐµÐ¿Ð»Ð¸ÐºÐ°ÑÐ¸Ñ ÐºÐ¾ÑÐ¾Ð½Ð°Ð²Ð¸ÑÑÑÐ°
optimization
optimization methods
evolutionary algorithms
coronavirus replication

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description: This final qualifying work is devoted to the study of an algorithm that simulates the attack behavior of a coronavirus inside human cells. The algorithm uses the virus replication mechanism known as the frame shift method to create many its copies. To study the optimization algorithm, the following tasks were solved: the study of the concept of the algorithm and its implementation in a software environment, testing and comparing the effectiveness of solving optimization problems with other existing metaheuristic algorithms, analysis of the results and conclusions about its effectiveness. In the course of work, the algorithm was implemented in the MATLAB software environment, tested on 9 classical test functions and 5 CEC 2019 benchmark tasks, the influence of parameter values on performance was checked, and a comparative analysis of the results with other evolutionary algorithms was performed. Based on the results, conclusions were made that the algorithm can be successfully used to solve various types of optimization problems, has high performance and research capabilities, and high convergence rate.