一种新的布谷鸟搜索及其扩频雷达波利相位码设计的应用

Yanxia Sun
{"title":"一种新的布谷鸟搜索及其扩频雷达波利相位码设计的应用","authors":"Yanxia Sun","doi":"10.1109/ICISCE.2016.25","DOIUrl":null,"url":null,"abstract":"The Lévy flight was used in cuckoo search to achieve good optimization performance. Although the optimization performance of cuckoo search algorithm is good based on the Lévy flight some complicated mathematical operations should be used to realize the Lévy flight such as trigonometric function, gamma function and exponential functions, which limited the application of the cuckoo search algorithm especially there is high requirement about computation complex like in the embedded systems. The Lévy flight is replaced by a simple uniform distribution function based on the randomly chosen dimension and a local search method is applied to improve the optimization performance although the general structure of cuckoo search algorithm is not changed. The proposed cuckoo search algorithm is applied to several benchmark functions and the simulation results show the simplified cuckoo search algorithm can achieve better optimization performance than the original cuckoo search algorithm. Finally the simplified cuckoo search algorithm is applied to the spread spectrum radar Polly phase code design.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":"11 1","pages":"67-71"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A New Cuckoo Search and Its Application of Spread Spectrum Radar Polly Phase Code Design\",\"authors\":\"Yanxia Sun\",\"doi\":\"10.1109/ICISCE.2016.25\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Lévy flight was used in cuckoo search to achieve good optimization performance. Although the optimization performance of cuckoo search algorithm is good based on the Lévy flight some complicated mathematical operations should be used to realize the Lévy flight such as trigonometric function, gamma function and exponential functions, which limited the application of the cuckoo search algorithm especially there is high requirement about computation complex like in the embedded systems. The Lévy flight is replaced by a simple uniform distribution function based on the randomly chosen dimension and a local search method is applied to improve the optimization performance although the general structure of cuckoo search algorithm is not changed. The proposed cuckoo search algorithm is applied to several benchmark functions and the simulation results show the simplified cuckoo search algorithm can achieve better optimization performance than the original cuckoo search algorithm. Finally the simplified cuckoo search algorithm is applied to the spread spectrum radar Polly phase code design.\",\"PeriodicalId\":6882,\"journal\":{\"name\":\"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)\",\"volume\":\"11 1\",\"pages\":\"67-71\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICISCE.2016.25\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISCE.2016.25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在布谷鸟搜索中使用lsamvy飞行,获得了较好的优化性能。虽然基于lsamvy飞行的布谷鸟搜索算法优化性能良好,但要实现lsamvy飞行需要用到一些复杂的数学运算,如三角函数、伽马函数和指数函数,这限制了布谷鸟搜索算法的应用,特别是嵌入式系统对计算复杂度的要求很高。在不改变布谷鸟搜索算法总体结构的基础上,采用基于随机选择维数的简单均匀分布函数代替lsamvy飞行,并采用局部搜索方法提高优化性能。将提出的布谷鸟搜索算法应用于多个基准函数,仿真结果表明,简化布谷鸟搜索算法比原始布谷鸟搜索算法能获得更好的优化性能。最后将简化布谷鸟搜索算法应用于扩频雷达波利相位码的设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Cuckoo Search and Its Application of Spread Spectrum Radar Polly Phase Code Design
The Lévy flight was used in cuckoo search to achieve good optimization performance. Although the optimization performance of cuckoo search algorithm is good based on the Lévy flight some complicated mathematical operations should be used to realize the Lévy flight such as trigonometric function, gamma function and exponential functions, which limited the application of the cuckoo search algorithm especially there is high requirement about computation complex like in the embedded systems. The Lévy flight is replaced by a simple uniform distribution function based on the randomly chosen dimension and a local search method is applied to improve the optimization performance although the general structure of cuckoo search algorithm is not changed. The proposed cuckoo search algorithm is applied to several benchmark functions and the simulation results show the simplified cuckoo search algorithm can achieve better optimization performance than the original cuckoo search algorithm. Finally the simplified cuckoo search algorithm is applied to the spread spectrum radar Polly phase code design.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信