{"title":"动态扩展因子粒子群优化及其在柔性梁结构建模中的应用","authors":"M. Mohamad, M. Tokhi, I. A. Latiff","doi":"10.1109/UKRICIS.2010.5898131","DOIUrl":null,"url":null,"abstract":"This paper a particle swarm optimization (PSO) algorithm with dynamic spread factor inertia weight and it application to dynamic modeling of a flexible beam structure. In this study, system identification scheme based on PSO is formulated to obtain a dynamic model of the beam in parametric form. A PSO algorithm with dynamic spread factor inertia weight is proposed and its performance is assessed in comparison to a PSO with linearly varying inertia weight in modelling the flexible beam structure.","PeriodicalId":359942,"journal":{"name":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Particle swarm optimisation with dynamic spread factor with application to modelling of a flexible beam structure\",\"authors\":\"M. Mohamad, M. Tokhi, I. A. Latiff\",\"doi\":\"10.1109/UKRICIS.2010.5898131\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper a particle swarm optimization (PSO) algorithm with dynamic spread factor inertia weight and it application to dynamic modeling of a flexible beam structure. In this study, system identification scheme based on PSO is formulated to obtain a dynamic model of the beam in parametric form. A PSO algorithm with dynamic spread factor inertia weight is proposed and its performance is assessed in comparison to a PSO with linearly varying inertia weight in modelling the flexible beam structure.\",\"PeriodicalId\":359942,\"journal\":{\"name\":\"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems\",\"volume\":\"84 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UKRICIS.2010.5898131\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UKRICIS.2010.5898131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Particle swarm optimisation with dynamic spread factor with application to modelling of a flexible beam structure
This paper a particle swarm optimization (PSO) algorithm with dynamic spread factor inertia weight and it application to dynamic modeling of a flexible beam structure. In this study, system identification scheme based on PSO is formulated to obtain a dynamic model of the beam in parametric form. A PSO algorithm with dynamic spread factor inertia weight is proposed and its performance is assessed in comparison to a PSO with linearly varying inertia weight in modelling the flexible beam structure.
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