Distributed constraint optimization with MULBS: A case study on collaborative meeting scheduling : Collaborative Computing and Applications
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Published in | Journal of network and computer applications Vol. 35; no. 1; pp. 164 - 175 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Kidlington
Elsevier
2012
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Subjects | |
Online Access | Get full text |
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Author | ANDRE BARTHES, Jean-Paul ENEMBRECK, Fabrício |
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Author_xml | – sequence: 1 givenname: Fabrício surname: ENEMBRECK fullname: ENEMBRECK, Fabrício organization: Pontificia Universidade Católica do Paraná, Graduate Program on Informatics-PPGIA, av. Imaculada Conceição, 1155, Curitiba-Paraná, Brazil – sequence: 2 givenname: Jean-Paul surname: ANDRE BARTHES fullname: ANDRE BARTHES, Jean-Paul organization: Université de Technologie de Compiegne, Centre de Recherches Royallieu, Compiègne, France |
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Keywords | Performance evaluation Production system State of the art Cooperative systems Distributed artificial intelligence Scheduling Algorithm Constrained optimization Case study NP complete problem Distributed meeting scheduling Objective function Artificial intelligence DCOP |
Language | English |
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SubjectTerms | Applied sciences Artificial intelligence Computer science; control theory; systems Exact sciences and technology Learning and adaptive systems |
Title | Distributed constraint optimization with MULBS: A case study on collaborative meeting scheduling : Collaborative Computing and Applications |
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