{"title":"基于粒子群优化的六面体网格平滑","authors":"A. Yilmaz, M. Kuzuoglu","doi":"10.1109/SIU.2007.4298804","DOIUrl":null,"url":null,"abstract":"The main aim in this work is the smoothing and improvement of all-hexahedral mesh (especially created for the finite element method) by means of the particle swarm optimization (PSO) technique. The optimization is performed by using various objective functions derived from several hexehadral element quality metrics. The proposed method is tested over some problems encountered in the electromagnetic theory.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hexahedral Mesh Smoothing by Means of Particle Swarm Optimization\",\"authors\":\"A. Yilmaz, M. Kuzuoglu\",\"doi\":\"10.1109/SIU.2007.4298804\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main aim in this work is the smoothing and improvement of all-hexahedral mesh (especially created for the finite element method) by means of the particle swarm optimization (PSO) technique. The optimization is performed by using various objective functions derived from several hexehadral element quality metrics. The proposed method is tested over some problems encountered in the electromagnetic theory.\",\"PeriodicalId\":315147,\"journal\":{\"name\":\"2007 IEEE 15th Signal Processing and Communications Applications\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE 15th Signal Processing and Communications Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIU.2007.4298804\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE 15th Signal Processing and Communications Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU.2007.4298804","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hexahedral Mesh Smoothing by Means of Particle Swarm Optimization
The main aim in this work is the smoothing and improvement of all-hexahedral mesh (especially created for the finite element method) by means of the particle swarm optimization (PSO) technique. The optimization is performed by using various objective functions derived from several hexehadral element quality metrics. The proposed method is tested over some problems encountered in the electromagnetic theory.
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