{"title":"通信行业员工发展优化管理的数学模型","authors":"L. Danilova, N. Zakharov, M. Oblaukhova","doi":"10.1109/OPCS.2019.8880184","DOIUrl":null,"url":null,"abstract":"The problem of staff management in the communications industry is considered, as at the moment this area is one of the fundamental for the development of the country and regions, in particular. The optimization mathematical model constructed on the basis of genetic algorithms, generates an optimal composition of activities for management staff. This set of measures is considered as management decisions, the implementation of which increases the efficiency of human resources and reduces the risks typical for staff policy. These parameters are used as particular criteria for optimal solutions in the implementation of multi-criteria optimization using the apparatus of genetic algorithms.","PeriodicalId":288547,"journal":{"name":"2019 15th International Asian School-Seminar Optimization Problems of Complex Systems (OPCS)","volume":"170 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mathematical Model of Optimal Management of Staff Development in the Communications Industry\",\"authors\":\"L. Danilova, N. Zakharov, M. Oblaukhova\",\"doi\":\"10.1109/OPCS.2019.8880184\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of staff management in the communications industry is considered, as at the moment this area is one of the fundamental for the development of the country and regions, in particular. The optimization mathematical model constructed on the basis of genetic algorithms, generates an optimal composition of activities for management staff. This set of measures is considered as management decisions, the implementation of which increases the efficiency of human resources and reduces the risks typical for staff policy. These parameters are used as particular criteria for optimal solutions in the implementation of multi-criteria optimization using the apparatus of genetic algorithms.\",\"PeriodicalId\":288547,\"journal\":{\"name\":\"2019 15th International Asian School-Seminar Optimization Problems of Complex Systems (OPCS)\",\"volume\":\"170 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 15th International Asian School-Seminar Optimization Problems of Complex Systems (OPCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OPCS.2019.8880184\",\"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 15th International Asian School-Seminar Optimization Problems of Complex Systems (OPCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OPCS.2019.8880184","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mathematical Model of Optimal Management of Staff Development in the Communications Industry
The problem of staff management in the communications industry is considered, as at the moment this area is one of the fundamental for the development of the country and regions, in particular. The optimization mathematical model constructed on the basis of genetic algorithms, generates an optimal composition of activities for management staff. This set of measures is considered as management decisions, the implementation of which increases the efficiency of human resources and reduces the risks typical for staff policy. These parameters are used as particular criteria for optimal solutions in the implementation of multi-criteria optimization using the apparatus of genetic algorithms.