{"title":"利用遗传算法设计多层FSS和波导滤波器","authors":"E. Michielssen, J. Sajer, R. Mittra","doi":"10.1109/APS.1993.385586","DOIUrl":null,"url":null,"abstract":"In contrast to a neural network-based synthesis technique proposed by C. H. Chan et al. (1992), the present method does not search for the optimal design by optimizing the dimensions of a given element shape. Instead, such a design is obtained by cascading elementary building blocks of predefined element shapes and dielectric layers. A small database containing 16 different element types is used to illustrate the proposed technique.<<ETX>>","PeriodicalId":138141,"journal":{"name":"Proceedings of IEEE Antennas and Propagation Society International Symposium","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Design of multilayered FSS and waveguide filters using genetic algorithms\",\"authors\":\"E. Michielssen, J. Sajer, R. Mittra\",\"doi\":\"10.1109/APS.1993.385586\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In contrast to a neural network-based synthesis technique proposed by C. H. Chan et al. (1992), the present method does not search for the optimal design by optimizing the dimensions of a given element shape. Instead, such a design is obtained by cascading elementary building blocks of predefined element shapes and dielectric layers. A small database containing 16 different element types is used to illustrate the proposed technique.<<ETX>>\",\"PeriodicalId\":138141,\"journal\":{\"name\":\"Proceedings of IEEE Antennas and Propagation Society International Symposium\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE Antennas and Propagation Society International Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APS.1993.385586\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE Antennas and Propagation Society International Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APS.1993.385586","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of multilayered FSS and waveguide filters using genetic algorithms
In contrast to a neural network-based synthesis technique proposed by C. H. Chan et al. (1992), the present method does not search for the optimal design by optimizing the dimensions of a given element shape. Instead, such a design is obtained by cascading elementary building blocks of predefined element shapes and dielectric layers. A small database containing 16 different element types is used to illustrate the proposed technique.<>
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