{"title":"随机搜索法优化条形模态滤波器","authors":"V. Gordeyeva, A. Belousov","doi":"10.1109/SIBCON56144.2022.10002986","DOIUrl":null,"url":null,"abstract":"The article considers a novel approach to optimizing strip modal filters (MF) using the random search (RS) method. The optimization results for a 3-conductor MF with edge-side coupling and a 2-conductor MF with broad-side coupling were obtained. optimization was carried out according to the criterion of minimizing the maximum value of the output voltage. It was possible to obtain the maximum output voltage values that are comparable to optimization by evolutionary algorithms (149.1 mV for the MF with edge-side coupling and S6.9 mV for the MF with broad-side coupling). The obtained results were analyzed and revealed the distinctive features of the RS method and evolutionary algorithms for the MF optimization purposes.","PeriodicalId":265523,"journal":{"name":"2022 International Siberian Conference on Control and Communications (SIBCON)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimization of Strip Modal Filters by Random Search Method\",\"authors\":\"V. Gordeyeva, A. Belousov\",\"doi\":\"10.1109/SIBCON56144.2022.10002986\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article considers a novel approach to optimizing strip modal filters (MF) using the random search (RS) method. The optimization results for a 3-conductor MF with edge-side coupling and a 2-conductor MF with broad-side coupling were obtained. optimization was carried out according to the criterion of minimizing the maximum value of the output voltage. It was possible to obtain the maximum output voltage values that are comparable to optimization by evolutionary algorithms (149.1 mV for the MF with edge-side coupling and S6.9 mV for the MF with broad-side coupling). The obtained results were analyzed and revealed the distinctive features of the RS method and evolutionary algorithms for the MF optimization purposes.\",\"PeriodicalId\":265523,\"journal\":{\"name\":\"2022 International Siberian Conference on Control and Communications (SIBCON)\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Siberian Conference on Control and Communications (SIBCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIBCON56144.2022.10002986\",\"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 International Siberian Conference on Control and Communications (SIBCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBCON56144.2022.10002986","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization of Strip Modal Filters by Random Search Method
The article considers a novel approach to optimizing strip modal filters (MF) using the random search (RS) method. The optimization results for a 3-conductor MF with edge-side coupling and a 2-conductor MF with broad-side coupling were obtained. optimization was carried out according to the criterion of minimizing the maximum value of the output voltage. It was possible to obtain the maximum output voltage values that are comparable to optimization by evolutionary algorithms (149.1 mV for the MF with edge-side coupling and S6.9 mV for the MF with broad-side coupling). The obtained results were analyzed and revealed the distinctive features of the RS method and evolutionary algorithms for the MF optimization purposes.
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