Publication: Multicriteria Approach to Control a Population of Robots to Find the Best Solutions
dc.contributor.author | Nelyubin, A. P. | |
dc.contributor.author | Potapov, M. A. | |
dc.contributor.author | Misyurin, S. Y. | |
dc.contributor.author | Мисюрин, Сергей Юрьевич | |
dc.date.accessioned | 2024-11-25T14:50:23Z | |
dc.date.available | 2024-11-25T14:50:23Z | |
dc.date.issued | 2020 | |
dc.description.abstract | © 2020, Springer Nature Switzerland AG.A bio-inspired and multicriteria approach to the design of promising robotic systems consisting of groups of robots and able to rebuild and adapt to changing goals and operating conditions is proposed. | |
dc.format.extent | С. 358-363 | |
dc.identifier.citation | Nelyubin, A. P. Multicriteria Approach to Control a Population of Robots to Find the Best Solutions / Nelyubin, A.P., Potapov, M.A., Misyurin, S.Y. // Advances in Intelligent Systems and Computing. - 2020. - 948. - P. 358-363. - 10.1007/978-3-030-25719-4_46 | |
dc.identifier.doi | 10.1007/978-3-030-25719-4_46 | |
dc.identifier.uri | https://www.doi.org/10.1007/978-3-030-25719-4_46 | |
dc.identifier.uri | https://www.scopus.com/record/display.uri?eid=2-s2.0-85070201776&origin=resultslist | |
dc.identifier.uri | https://openrepository.mephi.ru/handle/123456789/20021 | |
dc.relation.ispartof | Advances in Intelligent Systems and Computing | |
dc.title | Multicriteria Approach to Control a Population of Robots to Find the Best Solutions | |
dc.type | Conference Paper | |
dspace.entity.type | Publication | |
oaire.citation.volume | 948 | |
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