{"title":"虚拟力装饰遗传算法优化基站位置","authors":"Huan Wang, W. Huangfu, Yunhui Qin, Keping Long","doi":"10.1109/WOCC.2019.8770642","DOIUrl":null,"url":null,"abstract":"The base station location optimization is one of the most important issues in cellular networks. A novel genetic algorithm combined with the virtual force decoration to improve coverage performance of cellular networks is proposed. The virtual force decoration modifies the individuals and provides a better direction guide for the gene mutation. Experiences prove the proposed algorithm not only obtains higher coverage rate but also converges faster than the standard genetic algorithms.","PeriodicalId":285172,"journal":{"name":"2019 28th Wireless and Optical Communications Conference (WOCC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Virtual Force-Decorated Genetic Algorithm to Optimize Base Station Locations\",\"authors\":\"Huan Wang, W. Huangfu, Yunhui Qin, Keping Long\",\"doi\":\"10.1109/WOCC.2019.8770642\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The base station location optimization is one of the most important issues in cellular networks. A novel genetic algorithm combined with the virtual force decoration to improve coverage performance of cellular networks is proposed. The virtual force decoration modifies the individuals and provides a better direction guide for the gene mutation. Experiences prove the proposed algorithm not only obtains higher coverage rate but also converges faster than the standard genetic algorithms.\",\"PeriodicalId\":285172,\"journal\":{\"name\":\"2019 28th Wireless and Optical Communications Conference (WOCC)\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 28th Wireless and Optical Communications Conference (WOCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WOCC.2019.8770642\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 28th Wireless and Optical Communications Conference (WOCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WOCC.2019.8770642","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Virtual Force-Decorated Genetic Algorithm to Optimize Base Station Locations
The base station location optimization is one of the most important issues in cellular networks. A novel genetic algorithm combined with the virtual force decoration to improve coverage performance of cellular networks is proposed. The virtual force decoration modifies the individuals and provides a better direction guide for the gene mutation. Experiences prove the proposed algorithm not only obtains higher coverage rate but also converges faster than the standard genetic algorithms.
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