Jianhua Wang, Weiting Liu, Min Wang, Bing Zhang, Jian Wang
{"title":"基于遗传算法的多机动目标数据关联","authors":"Jianhua Wang, Weiting Liu, Min Wang, Bing Zhang, Jian Wang","doi":"10.1109/ICACT.2005.246130","DOIUrl":null,"url":null,"abstract":"This paper studies the problem of data association in multiple maneuvering targets locating and tracking. Genetic algorithm is used successfully in solving the complex optimization and the industrial engineering problem. Recently researching on genetic algorithm has attracted a lot of attention. This paper puts forward a way of using genetic algorithms to resolve the problem of multiple target data association. The simulation results show that the algorithm used in this paper is able to avoid the local extremum and the outcome is satisfactory.","PeriodicalId":293442,"journal":{"name":"The 7th International Conference on Advanced Communication Technology, 2005, ICACT 2005.","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Multiple maneuvering target data association based on genetic algorithms\",\"authors\":\"Jianhua Wang, Weiting Liu, Min Wang, Bing Zhang, Jian Wang\",\"doi\":\"10.1109/ICACT.2005.246130\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studies the problem of data association in multiple maneuvering targets locating and tracking. Genetic algorithm is used successfully in solving the complex optimization and the industrial engineering problem. Recently researching on genetic algorithm has attracted a lot of attention. This paper puts forward a way of using genetic algorithms to resolve the problem of multiple target data association. The simulation results show that the algorithm used in this paper is able to avoid the local extremum and the outcome is satisfactory.\",\"PeriodicalId\":293442,\"journal\":{\"name\":\"The 7th International Conference on Advanced Communication Technology, 2005, ICACT 2005.\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 7th International Conference on Advanced Communication Technology, 2005, ICACT 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACT.2005.246130\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 7th International Conference on Advanced Communication Technology, 2005, ICACT 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACT.2005.246130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multiple maneuvering target data association based on genetic algorithms
This paper studies the problem of data association in multiple maneuvering targets locating and tracking. Genetic algorithm is used successfully in solving the complex optimization and the industrial engineering problem. Recently researching on genetic algorithm has attracted a lot of attention. This paper puts forward a way of using genetic algorithms to resolve the problem of multiple target data association. The simulation results show that the algorithm used in this paper is able to avoid the local extremum and the outcome is satisfactory.