{"title":"基于遗传规划的3G无线网络优化","authors":"Shaobo Li, W. Pan, Guanci Yang, Linna Chen","doi":"10.1109/ISCID.2009.181","DOIUrl":null,"url":null,"abstract":"We proposed a genetic programming (GP) based method for automated optimization design of base station configuration plans of 3G wireless networks. This method aims to address the disadvantages of the current methods on wireless network optimization and to satisfy new requirements for network design. Evolutional topological operators and terminal set are designed for GP the Prim is used to guide the evolutionary design. The result of topological graph shows that the algorithm can balance topology and parameter search, and it works well for 3G network optimization.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Optimization of 3G Wireless Network Using Genetic Programming\",\"authors\":\"Shaobo Li, W. Pan, Guanci Yang, Linna Chen\",\"doi\":\"10.1109/ISCID.2009.181\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We proposed a genetic programming (GP) based method for automated optimization design of base station configuration plans of 3G wireless networks. This method aims to address the disadvantages of the current methods on wireless network optimization and to satisfy new requirements for network design. Evolutional topological operators and terminal set are designed for GP the Prim is used to guide the evolutionary design. The result of topological graph shows that the algorithm can balance topology and parameter search, and it works well for 3G network optimization.\",\"PeriodicalId\":294370,\"journal\":{\"name\":\"International Symposium on Computational Intelligence and Design\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Symposium on Computational Intelligence and Design\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCID.2009.181\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Computational Intelligence and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCID.2009.181","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization of 3G Wireless Network Using Genetic Programming
We proposed a genetic programming (GP) based method for automated optimization design of base station configuration plans of 3G wireless networks. This method aims to address the disadvantages of the current methods on wireless network optimization and to satisfy new requirements for network design. Evolutional topological operators and terminal set are designed for GP the Prim is used to guide the evolutionary design. The result of topological graph shows that the algorithm can balance topology and parameter search, and it works well for 3G network optimization.