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dc.contributor.author | Konnov I.V. | |
dc.date.accessioned | 2022-02-09T20:33:21Z | |
dc.date.available | 2022-02-09T20:33:21Z | |
dc.date.issued | 2021 | |
dc.identifier.issn | 0233-1934 | |
dc.identifier.uri | https://dspace.kpfu.ru/xmlui/handle/net/168979 | |
dc.description.abstract | We propose a decentralized penalty method for general convex constrained multi-agent optimization problems. Each auxiliary penalized problem is solved approximately with a special parallel descent splitting method. The method can be implemented in a computational network where each agent sends information only to the nearest neighbours. Convergence of the method is established under rather weak assumptions. We also describe a specialization of the proposed approach to the feasibility problem. | |
dc.relation.ispartofseries | Optimization | |
dc.subject | constrained multi-agent optimization | |
dc.subject | Convex optimization | |
dc.subject | decentralized penalty method | |
dc.subject | decomposition | |
dc.subject | descent splitting method | |
dc.subject | feasibility problem | |
dc.title | Decentralized multi-agent optimization based on a penalty method | |
dc.type | Article | |
dc.collection | Публикации сотрудников КФУ | |
dc.source.id | SCOPUS02331934-2021-SID85110253170 |