{"title":"Thinned arrays using genetic algorithms","authors":"R. Haupt, J. J. Menozzi, C. J. McCormack","doi":"10.1109/APS.1993.385248","DOIUrl":null,"url":null,"abstract":"It is shown how to apply genetic algorithms (GAs) to arrive at an optimally thinned array. Consistent GA results from five array thinning optimizations for a 50-element linear array of isotropic point sources are shown. All of the runs are within 0.8dB of one another. A sample far-field pattern for the 50-element array resulting from the GA optimization is shown. The array patterns are optimized for the lowest maximum sidelobe level. It is concluded that a GA is ideal for optimizing the thinning of an array. The bits in a gene correspond to turning the element on or off. Although a GA is slow, it can handle very large problems involving many antenna elements.<<ETX>>","PeriodicalId":138141,"journal":{"name":"Proceedings of IEEE Antennas and Propagation Society International Symposium","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1038","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.1993.385248","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1038
Abstract
It is shown how to apply genetic algorithms (GAs) to arrive at an optimally thinned array. Consistent GA results from five array thinning optimizations for a 50-element linear array of isotropic point sources are shown. All of the runs are within 0.8dB of one another. A sample far-field pattern for the 50-element array resulting from the GA optimization is shown. The array patterns are optimized for the lowest maximum sidelobe level. It is concluded that a GA is ideal for optimizing the thinning of an array. The bits in a gene correspond to turning the element on or off. Although a GA is slow, it can handle very large problems involving many antenna elements.<>
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