{"title":"具有不同认知术语的PSO修饰的发展","authors":"Y. Romasevych, V. Loveikin, Yu. V. Loveikin","doi":"10.1109/KhPIWeek57572.2022.9916413","DOIUrl":null,"url":null,"abstract":"A new modification of particle swarm optimization (PSO) was developed in the work. It involves changing the cognitive term of a particle movement. The frequency of such changing through iterations execution is considered as an additional parameter to tune. A reasonable range of the parameter was stated in the work. A comparative study supported the superiority of the developed PSO modification. In addition, its mature performance showed the efficiency of the algorithm iterations number increasing.","PeriodicalId":197096,"journal":{"name":"2022 IEEE 3rd KhPI Week on Advanced Technology (KhPIWeek)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Development of a PSO Modification with Varying Cognitive Term\",\"authors\":\"Y. Romasevych, V. Loveikin, Yu. V. Loveikin\",\"doi\":\"10.1109/KhPIWeek57572.2022.9916413\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new modification of particle swarm optimization (PSO) was developed in the work. It involves changing the cognitive term of a particle movement. The frequency of such changing through iterations execution is considered as an additional parameter to tune. A reasonable range of the parameter was stated in the work. A comparative study supported the superiority of the developed PSO modification. In addition, its mature performance showed the efficiency of the algorithm iterations number increasing.\",\"PeriodicalId\":197096,\"journal\":{\"name\":\"2022 IEEE 3rd KhPI Week on Advanced Technology (KhPIWeek)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 3rd KhPI Week on Advanced Technology (KhPIWeek)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/KhPIWeek57572.2022.9916413\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 3rd KhPI Week on Advanced Technology (KhPIWeek)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KhPIWeek57572.2022.9916413","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of a PSO Modification with Varying Cognitive Term
A new modification of particle swarm optimization (PSO) was developed in the work. It involves changing the cognitive term of a particle movement. The frequency of such changing through iterations execution is considered as an additional parameter to tune. A reasonable range of the parameter was stated in the work. A comparative study supported the superiority of the developed PSO modification. In addition, its mature performance showed the efficiency of the algorithm iterations number increasing.