In-depth explanation of practical application cases of MATLAB algorithm - [Optimization Algorithm] Anti-Coronavirus Optimization Algorithm (ACVO) (with MATLAB code implementation)

Preface

(ACVO) algorithm is a multi-agent strategy where each agent is a human trying to stay healthy and slow the spread of COVID-19 by observing control protocols. The algorithm consists of three main steps: social distancing, isolation and quarantine. During the social distancing phase, the algorithm attempts to maintain a safe physical distance between people and limit close contact. During the quarantine phase, the algorithm isolates suspected individuals to prevent the spread of the disease. Some people who do not follow health protocols and contract the virus should be cared for to fully recover. During the isolation phase, the algorithm cares for the infected person to recover. The algorithm iteratively applies these operators to the population to find the fittest and healthiest people. The proposed algorithm is evaluated on a standard multivariable single-objective optimization problem and compared with several corresponding algorithms. The results demonstrate the superiority of ACVO compared to similar products on most test questions.

Knowledge expansion

Coronavirus Herd Immunity Optimization Algorithm (CHIO)

In 2020, Mohammed Azmi Al-Betar and others proposed a new nature-based optimization algorithm-Coronavirus Herd Immunity Optimization Algorithm (CHIO). It was inspired by the catastrophic coronavirus spreading around the world and modeled on herd immunity strategies and social distancing concepts. Three types of individual cases are used for herd immunity: susceptible, infected, and immune.
This paper studies the sensitivity of CHIO to its parameters. CHIO then performs a comparative evaluation of seven state-of-the-art methods using 23 well-known benchmark functions for evaluation. Comparative analysis shows that CHIO is able to produce very competitive results compared to other well-established methods.
 

Algorithm steps

The Coronavirus Herd Immunity Optimization Algorithm (CHIO) is inspired by the concept of herd immunity in response to the coronavirus pandemic (COVID-19). How quickly the coronavirus is spread depends on how an infected person comes into direct contact with other members of society. To protect other members of society from the disease, health experts recommend social distancing. Herd immunity is a state achieved by a population when the majority of the population is immune, which protects against disease

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Origin blog.csdn.net/qq_36130719/article/details/133385295