{"title":"一种基于自适应遗传算法的优化调度方法研究","authors":"Ye-yang Pan, Jin-jie Yao","doi":"10.1109/ICIS.2014.6912105","DOIUrl":null,"url":null,"abstract":"In the high-speed flight target positioning, the base stations' locations influence the target localization accuracy directly. As the traditional base station layout positioning precision is not high, this paper proposes an optimal layout base station scheme which is bassd on adaptive genetic algorithm. The paper introduces the GA from the selection crossover and mutation operations, with the geometrical factor -GDOP as fitness function, end rsalizes the ground stations optimal layout. The simutulion results show that the scheme can optimize the base stations' locations, and improve the positioning precision of high speed targets.","PeriodicalId":237256,"journal":{"name":"2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A research based on adaptive genetic algorithm optimal embattling method\",\"authors\":\"Ye-yang Pan, Jin-jie Yao\",\"doi\":\"10.1109/ICIS.2014.6912105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the high-speed flight target positioning, the base stations' locations influence the target localization accuracy directly. As the traditional base station layout positioning precision is not high, this paper proposes an optimal layout base station scheme which is bassd on adaptive genetic algorithm. The paper introduces the GA from the selection crossover and mutation operations, with the geometrical factor -GDOP as fitness function, end rsalizes the ground stations optimal layout. The simutulion results show that the scheme can optimize the base stations' locations, and improve the positioning precision of high speed targets.\",\"PeriodicalId\":237256,\"journal\":{\"name\":\"2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIS.2014.6912105\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIS.2014.6912105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A research based on adaptive genetic algorithm optimal embattling method
In the high-speed flight target positioning, the base stations' locations influence the target localization accuracy directly. As the traditional base station layout positioning precision is not high, this paper proposes an optimal layout base station scheme which is bassd on adaptive genetic algorithm. The paper introduces the GA from the selection crossover and mutation operations, with the geometrical factor -GDOP as fitness function, end rsalizes the ground stations optimal layout. The simutulion results show that the scheme can optimize the base stations' locations, and improve the positioning precision of high speed targets.