Corona virus optimization (CVO): a novel optimization algorithm inspired from the Corona virus pandemic.

IF 2.5 3区计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Journal of Supercomputing Pub Date : 2022-01-01 Epub Date: 2021-10-04 DOI:10.1007/s11227-021-04100-z

Alireza Salehan, Arash Deldari

{"title":"Corona virus optimization (CVO): a novel optimization algorithm inspired from the Corona virus pandemic.","authors":"Alireza Salehan, Arash Deldari","doi":"10.1007/s11227-021-04100-z","DOIUrl":null,"url":null,"abstract":"<p><p>This research introduces a new probabilistic and meta-heuristic optimization approach inspired by the Corona virus pandemic. Corona is an infection that originates from an unknown animal virus, which is of three known types and COVID-19 has been rapidly spreading since late 2019. Based on the SIR model, the virus can easily transmit from one person to several, causing an epidemic over time. Considering the characteristics and behavior of this virus, the current paper presents an optimization algorithm called Corona virus optimization (CVO) which is feasible, effective, and applicable. A set of benchmark functions evaluates the performance of this algorithm for discrete and continuous problems by comparing the results with those of other well-known optimization algorithms. The CVO algorithm aims to find suitable solutions to application problems by solving several continuous mathematical functions as well as three continuous and discrete applications. Experimental results denote that the proposed optimization method has a credible, reasonable, and acceptable performance.</p>","PeriodicalId":50034,"journal":{"name":"Journal of Supercomputing","volume":"78 4","pages":"5712-5743"},"PeriodicalIF":2.5000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8489174/pdf/","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Supercomputing","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s11227-021-04100-z","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/10/4 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}

引用次数: 4

Abstract

This research introduces a new probabilistic and meta-heuristic optimization approach inspired by the Corona virus pandemic. Corona is an infection that originates from an unknown animal virus, which is of three known types and COVID-19 has been rapidly spreading since late 2019. Based on the SIR model, the virus can easily transmit from one person to several, causing an epidemic over time. Considering the characteristics and behavior of this virus, the current paper presents an optimization algorithm called Corona virus optimization (CVO) which is feasible, effective, and applicable. A set of benchmark functions evaluates the performance of this algorithm for discrete and continuous problems by comparing the results with those of other well-known optimization algorithms. The CVO algorithm aims to find suitable solutions to application problems by solving several continuous mathematical functions as well as three continuous and discrete applications. Experimental results denote that the proposed optimization method has a credible, reasonable, and acceptable performance.

Abstract Image

查看原文本刊更多论文

冠状病毒优化(CVO):一种受冠状病毒大流行启发的新型优化算法。

本研究引入了一种受冠状病毒大流行启发的新的概率和元启发式优化方法。冠状病毒是一种源于一种未知动物病毒的感染，它有三种已知类型，自2019年底以来，COVID-19一直在迅速传播。根据SIR模型，病毒可以很容易地从一个人传播给几个人，随着时间的推移导致流行病。针对该病毒的特点和行为，本文提出了一种可行、有效、适用的冠状病毒优化算法(CVO)。一组基准函数通过将结果与其他知名优化算法的结果进行比较来评估该算法在离散和连续问题上的性能。CVO算法旨在通过求解几个连续的数学函数以及三个连续和离散的应用来找到适合的应用问题的解。实验结果表明，该优化方法具有可靠、合理、可接受的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Supercomputing 工程技术-工程：电子与电气

CiteScore

6.30

自引率

12.10%

发文量

734

审稿时长

13 months

期刊介绍： The Journal of Supercomputing publishes papers on the technology, architecture and systems, algorithms, languages and programs, performance measures and methods, and applications of all aspects of Supercomputing. Tutorial and survey papers are intended for workers and students in the fields associated with and employing advanced computer systems. The journal also publishes letters to the editor, especially in areas relating to policy, succinct statements of paradoxes, intuitively puzzling results, partial results and real needs. Published theoretical and practical papers are advanced, in-depth treatments describing new developments and new ideas. Each includes an introduction summarizing prior, directly pertinent work that is useful for the reader to understand, in order to appreciate the advances being described.