{"title":"Investigation of an Influence of a Ratio,, Swarm Size - Iterations Number” on Particle Swarm Optimization Performance","authors":"Y. Romasevych, V. Loveikin, A. Loveikin","doi":"10.1109/KhPIWeek57572.2022.9916498","DOIUrl":null,"url":null,"abstract":"Particle swarm optimization (PSO) performance is greatly influenced by the size of a swarm and the number of iterations. In order to define the reasonable ratio,, swarm size - iteration number” in PSO four well-known benchmark functions were used during poor calculation resources. Multiplication of swarm size and iterations number was used as the calculation resources indicator. It was found, that an application of the swarms, which include up to 50 particles, is reasonable for poor calculation resources.","PeriodicalId":197096,"journal":{"name":"2022 IEEE 3rd KhPI Week on Advanced Technology (KhPIWeek)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 3rd KhPI Week on Advanced Technology (KhPIWeek)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KhPIWeek57572.2022.9916498","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Particle swarm optimization (PSO) performance is greatly influenced by the size of a swarm and the number of iterations. In order to define the reasonable ratio,, swarm size - iteration number” in PSO four well-known benchmark functions were used during poor calculation resources. Multiplication of swarm size and iterations number was used as the calculation resources indicator. It was found, that an application of the swarms, which include up to 50 particles, is reasonable for poor calculation resources.
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