{"title":"资源分配问题","authors":"A. Voronin, A. Savchenko","doi":"10.34229/1028-0979-2022-1-1","DOIUrl":null,"url":null,"abstract":"In various subject areas, the problem of such a distribution of the resources of a controlled system between individual elements (objects) is relevant, which ensures the most efficient functioning of the system in given circumstances. The problem of distribution of the given global resource is considered at restrictions from below, applied on partial resources. It is shown, that the problem consists in construction of adequate criterion function for optimization of process of distribution of resources in conditions of their limitation. The objective function is a scalar convolution of the partial resource vector. Requirements for the objective function: it must penalize partial resources for dangerously approaching its limits and be differentiable in its arguments. In the problem under consideration, partial resources have a dual nature. On the one hand, they can be considered as independent variables, arguments for the optimization of the objective function. On the other hand, it is logical for each of the objects to strive to maximize its partial resource, to go as far as possible from a dangerous limitation in order to increase the efficiency of its functioning. From this point of view, resources can be considered as particular criteria for the quality of the functioning of the corresponding objects. These criteria are subject to maximization, they are limited from below, non-negative and contradictory (an increase in one resource is possible only at the expense of a decrease in others). For the decision of a considered problem the approach of multicriteria optimization with use of the nonlinear trade-off scheme is undertaken. The proposed approach is recommended for a compromise-optimal allocation of resources in a wide range of practical problems. The illustrating example is given.","PeriodicalId":54874,"journal":{"name":"Journal of Automation and Information Sciences","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"RESOURCE DISTRIBUTION PROBLEM\",\"authors\":\"A. Voronin, A. Savchenko\",\"doi\":\"10.34229/1028-0979-2022-1-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In various subject areas, the problem of such a distribution of the resources of a controlled system between individual elements (objects) is relevant, which ensures the most efficient functioning of the system in given circumstances. The problem of distribution of the given global resource is considered at restrictions from below, applied on partial resources. It is shown, that the problem consists in construction of adequate criterion function for optimization of process of distribution of resources in conditions of their limitation. The objective function is a scalar convolution of the partial resource vector. Requirements for the objective function: it must penalize partial resources for dangerously approaching its limits and be differentiable in its arguments. In the problem under consideration, partial resources have a dual nature. On the one hand, they can be considered as independent variables, arguments for the optimization of the objective function. On the other hand, it is logical for each of the objects to strive to maximize its partial resource, to go as far as possible from a dangerous limitation in order to increase the efficiency of its functioning. From this point of view, resources can be considered as particular criteria for the quality of the functioning of the corresponding objects. These criteria are subject to maximization, they are limited from below, non-negative and contradictory (an increase in one resource is possible only at the expense of a decrease in others). For the decision of a considered problem the approach of multicriteria optimization with use of the nonlinear trade-off scheme is undertaken. The proposed approach is recommended for a compromise-optimal allocation of resources in a wide range of practical problems. The illustrating example is given.\",\"PeriodicalId\":54874,\"journal\":{\"name\":\"Journal of Automation and Information Sciences\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Automation and Information Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.34229/1028-0979-2022-1-1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Automation and Information Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34229/1028-0979-2022-1-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
In various subject areas, the problem of such a distribution of the resources of a controlled system between individual elements (objects) is relevant, which ensures the most efficient functioning of the system in given circumstances. The problem of distribution of the given global resource is considered at restrictions from below, applied on partial resources. It is shown, that the problem consists in construction of adequate criterion function for optimization of process of distribution of resources in conditions of their limitation. The objective function is a scalar convolution of the partial resource vector. Requirements for the objective function: it must penalize partial resources for dangerously approaching its limits and be differentiable in its arguments. In the problem under consideration, partial resources have a dual nature. On the one hand, they can be considered as independent variables, arguments for the optimization of the objective function. On the other hand, it is logical for each of the objects to strive to maximize its partial resource, to go as far as possible from a dangerous limitation in order to increase the efficiency of its functioning. From this point of view, resources can be considered as particular criteria for the quality of the functioning of the corresponding objects. These criteria are subject to maximization, they are limited from below, non-negative and contradictory (an increase in one resource is possible only at the expense of a decrease in others). For the decision of a considered problem the approach of multicriteria optimization with use of the nonlinear trade-off scheme is undertaken. The proposed approach is recommended for a compromise-optimal allocation of resources in a wide range of practical problems. The illustrating example is given.
期刊介绍:
This journal contains translations of papers from the Russian-language bimonthly "Mezhdunarodnyi nauchno-tekhnicheskiy zhurnal "Problemy upravleniya i informatiki". Subjects covered include information sciences such as pattern recognition, forecasting, identification and evaluation of complex systems, information security, fault diagnosis and reliability. In addition, the journal also deals with such automation subjects as adaptive, stochastic and optimal control, control and identification under uncertainty, robotics, and applications of user-friendly computers in management of economic, industrial, biological, and medical systems. The Journal of Automation and Information Sciences will appeal to professionals in control systems, communications, computers, engineering in biology and medicine, instrumentation and measurement, and those interested in the social implications of technology.