{"title":"多层雷达吸波材料的多目标优化设计","authors":"Liang Dong, Yun Wang, Haixiong Zhu, Jianwei Wu, W. Gu, Qingjie Meng","doi":"10.1109/NEMO49486.2020.9343449","DOIUrl":null,"url":null,"abstract":"In this paper, the multi-objective optimization design of a multilayer radar absorbing material (MRAM) is demonstrated. Firstly, the MRAM’s fast calculation algorithm is proposed and validated to be in a good agreement with the commercial electromagnetic computing software. Secondly, by combining the MRAM’s fast calculation algorithm and the NSGA-2 algorithm, a thin, lightweight and fine absorbing performance MRAM is optimized.","PeriodicalId":305562,"journal":{"name":"2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-objective optimization design of a multilayer radar absorbing material\",\"authors\":\"Liang Dong, Yun Wang, Haixiong Zhu, Jianwei Wu, W. Gu, Qingjie Meng\",\"doi\":\"10.1109/NEMO49486.2020.9343449\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the multi-objective optimization design of a multilayer radar absorbing material (MRAM) is demonstrated. Firstly, the MRAM’s fast calculation algorithm is proposed and validated to be in a good agreement with the commercial electromagnetic computing software. Secondly, by combining the MRAM’s fast calculation algorithm and the NSGA-2 algorithm, a thin, lightweight and fine absorbing performance MRAM is optimized.\",\"PeriodicalId\":305562,\"journal\":{\"name\":\"2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NEMO49486.2020.9343449\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NEMO49486.2020.9343449","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-objective optimization design of a multilayer radar absorbing material
In this paper, the multi-objective optimization design of a multilayer radar absorbing material (MRAM) is demonstrated. Firstly, the MRAM’s fast calculation algorithm is proposed and validated to be in a good agreement with the commercial electromagnetic computing software. Secondly, by combining the MRAM’s fast calculation algorithm and the NSGA-2 algorithm, a thin, lightweight and fine absorbing performance MRAM is optimized.