{"title":"阐述了解决基站现代化问题的混合离散优化算法","authors":"A. Kolokolov, T. Levanova, Yu C. Pozdnyakov","doi":"10.1109/DYNAMICS.2014.7005668","DOIUrl":null,"url":null,"abstract":"The problem of modernization of cellular base stations employing some new equipment with various performance specifications and cost is considered. It is required to select the reconstructed stations where the total number of clients will be maximized. For solving this problem a hybrid scheme on the basis of ant colony algorithm and immune algorithm is proposed and its experimental test is conducted.","PeriodicalId":248001,"journal":{"name":"2014 Dynamics of Systems, Mechanisms and Machines (Dynamics)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Elaboration of hybrid discrete optimization algorithm for solving the problem of modernization of base stations\",\"authors\":\"A. Kolokolov, T. Levanova, Yu C. Pozdnyakov\",\"doi\":\"10.1109/DYNAMICS.2014.7005668\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of modernization of cellular base stations employing some new equipment with various performance specifications and cost is considered. It is required to select the reconstructed stations where the total number of clients will be maximized. For solving this problem a hybrid scheme on the basis of ant colony algorithm and immune algorithm is proposed and its experimental test is conducted.\",\"PeriodicalId\":248001,\"journal\":{\"name\":\"2014 Dynamics of Systems, Mechanisms and Machines (Dynamics)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Dynamics of Systems, Mechanisms and Machines (Dynamics)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DYNAMICS.2014.7005668\",\"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 Dynamics of Systems, Mechanisms and Machines (Dynamics)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DYNAMICS.2014.7005668","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Elaboration of hybrid discrete optimization algorithm for solving the problem of modernization of base stations
The problem of modernization of cellular base stations employing some new equipment with various performance specifications and cost is considered. It is required to select the reconstructed stations where the total number of clients will be maximized. For solving this problem a hybrid scheme on the basis of ant colony algorithm and immune algorithm is proposed and its experimental test is conducted.
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