Xiaojun Ying, Y. Liao, Guochang Shi, Yanan Chen, Aixin Chen
{"title":"一种新的人工免疫算法及其在微带天线阵列设计中的应用","authors":"Xiaojun Ying, Y. Liao, Guochang Shi, Yanan Chen, Aixin Chen","doi":"10.1109/APCAP.2018.8538138","DOIUrl":null,"url":null,"abstract":"This paper presents a novel algorithm -artificial immune algorithm (AIA) which is inspired by the biological artificial immune system (AIS) for optimal problems. It is employed to a micro-strip antenna design for gain improvement and bandwidth extension. Characterized by Fitness-Concentration selection mechanism and Elite Reservation features, the proposed AIA is built up and tested in a searching multiple maximums issue, showing its higher searching efficiency compared with conventional genetic algorithm (GA). Micro-strip antenna being optimized is a $4\\times 1$ element single-layer array with thin substrate and corner-cut square patches, operating around 2.4 GHz. By adjusting the chamfer size, space between patches, the final antenna array optimized by AIA has a bandwidth improvement of 3.4% and an obvious gain enhancement of about 13dBi.","PeriodicalId":198124,"journal":{"name":"2018 IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)","volume":"59 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Novel Artificial Immune Algorithm and Its Application to Micro-strip Antenna Array Design\",\"authors\":\"Xiaojun Ying, Y. Liao, Guochang Shi, Yanan Chen, Aixin Chen\",\"doi\":\"10.1109/APCAP.2018.8538138\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a novel algorithm -artificial immune algorithm (AIA) which is inspired by the biological artificial immune system (AIS) for optimal problems. It is employed to a micro-strip antenna design for gain improvement and bandwidth extension. Characterized by Fitness-Concentration selection mechanism and Elite Reservation features, the proposed AIA is built up and tested in a searching multiple maximums issue, showing its higher searching efficiency compared with conventional genetic algorithm (GA). Micro-strip antenna being optimized is a $4\\\\times 1$ element single-layer array with thin substrate and corner-cut square patches, operating around 2.4 GHz. By adjusting the chamfer size, space between patches, the final antenna array optimized by AIA has a bandwidth improvement of 3.4% and an obvious gain enhancement of about 13dBi.\",\"PeriodicalId\":198124,\"journal\":{\"name\":\"2018 IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)\",\"volume\":\"59 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APCAP.2018.8538138\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCAP.2018.8538138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Novel Artificial Immune Algorithm and Its Application to Micro-strip Antenna Array Design
This paper presents a novel algorithm -artificial immune algorithm (AIA) which is inspired by the biological artificial immune system (AIS) for optimal problems. It is employed to a micro-strip antenna design for gain improvement and bandwidth extension. Characterized by Fitness-Concentration selection mechanism and Elite Reservation features, the proposed AIA is built up and tested in a searching multiple maximums issue, showing its higher searching efficiency compared with conventional genetic algorithm (GA). Micro-strip antenna being optimized is a $4\times 1$ element single-layer array with thin substrate and corner-cut square patches, operating around 2.4 GHz. By adjusting the chamfer size, space between patches, the final antenna array optimized by AIA has a bandwidth improvement of 3.4% and an obvious gain enhancement of about 13dBi.
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