{"title":"资源分配的分散策略","authors":"B. Friedlander","doi":"10.1109/CDC.1980.271850","DOIUrl":null,"url":null,"abstract":"An algorithm is presented for optimal resource allocation in large-scale systems. The approach is based on a two-step non-iterative decomposition technique: subsystem optimization is performed locally and the results are combined to provide a global optimum. The unique feature of the approach is that it performs the optimization in a completely decentralized manner, without a central coordinator.","PeriodicalId":332964,"journal":{"name":"1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes","volume":"48 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1980-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A decentralized strategy for resource allocation\",\"authors\":\"B. Friedlander\",\"doi\":\"10.1109/CDC.1980.271850\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An algorithm is presented for optimal resource allocation in large-scale systems. The approach is based on a two-step non-iterative decomposition technique: subsystem optimization is performed locally and the results are combined to provide a global optimum. The unique feature of the approach is that it performs the optimization in a completely decentralized manner, without a central coordinator.\",\"PeriodicalId\":332964,\"journal\":{\"name\":\"1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes\",\"volume\":\"48 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1980-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.1980.271850\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1980.271850","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An algorithm is presented for optimal resource allocation in large-scale systems. The approach is based on a two-step non-iterative decomposition technique: subsystem optimization is performed locally and the results are combined to provide a global optimum. The unique feature of the approach is that it performs the optimization in a completely decentralized manner, without a central coordinator.