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Campo DC | Valor | Lengua/Idioma |
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dc.contributor.author | Gorodetski, V. | - |
dc.contributor.author | Lebedev, L. | - |
dc.date.accessioned | 2013-04-27T00:17:54Z | - |
dc.date.available | 2013-04-27T00:17:54Z | - |
dc.date.issued | 1999-09-10 | - |
dc.identifier.citation | Revista Computación y Sistemas; Vol. 3 No. 1 | es |
dc.identifier.issn | 1405-5546 | - |
dc.identifier.uri | http://www.repositoriodigital.ipn.mx/handle/123456789/15470 | - |
dc.description.abstract | Abstract. A large number of important applications are reducible to combinatorial models. Almost all of them are at least exponential complexíty and cannot be solved in a traditional way. In the paper, we consider an agent -based approach to solve a class ofcomplex combinatorial problems in the area ofplanning and scheduling ofbounded resource al/ocation under real time and temporal constraints. The model ofthe problem is formulated in terms ofcontract al/ocation over a set of contractors and specified as an auction-based competítion of intelligent agents-contractors under agentmanager supervision. The paper contributions are repeatable auction-based scheme of random search of admissible decisions: knowledge-based specification ofreal-time and temporal constraints that is used lo order of contrae! al/ocation from step lo step ofauction procedure; dynamic programming approach for forming strategy ofbargaining by agent-contractor. | es |
dc.description.sponsorship | Instituto Politécnico Nacional - Centro de Investigación en Computación (CIC). | es |
dc.language.iso | en_US | es |
dc.publisher | Revista Computación y Sistemas; Vol. 3 No. 1 | es |
dc.relation.ispartofseries | Revista Computación y Sistemas;Vol. 3 No. 1 | - |
dc.subject | Keywords. Multi-agent systems, combinatorial optimization, real-time scheduling, random search, auction-based coordination. | es |
dc.title | Multi-agent Model for Real Time Resource Allocation | es |
dc.type | Article | es |
dc.description.especialidad | Investigación en Computación | es |
dc.description.tipo | es | |
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ART 2.pdf | 772.17 kB | Adobe PDF | Visualizar/Abrir |
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