Distributed Constraint Optimization Problems: Review and perspectives |
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| Affiliation: | 1. Pontifical Catholic University of Parana, PUCPR, Brazil;2. Université de Technologie de Compiègne, UTC, France;1. Faculty of Computer Science, Otto-von-Guericke University Magdeburg, Universitätsplatz 2, D-39106 Magdeburg, Germany;2. Institute for Community Medicine, Ernst-Moritz-Arndt University Greifswald, Walther-Rathenau-Straße 48, D-17475 Greifswald, Germany;3. Institute for Diagnostic Radiology and Neuroradiology, Ernst-Moritz-Arndt University Greifswald, Sauerbruchstraße, D-17487 Greifswald, Germany;1. Laboratory of Biometrics and Digital Forensics, Universiti Teknologi Malaysia, 81300 Skudai, Johor, Malaysia;2. Laboratory of Biodiversity and Bioinformatics, Universiti Teknologi Malaysia, 81300 Skudai, Johor, Malaysia;3. Laboratory of Computational Intelligence and Biotechnology, Universiti Teknologi Malaysia, 81300 Skudai, Johor, Malaysia;1. Department of Computer Science and Statistics (DCCE), São Paulo State University (UNESP), São José do Rio Preto, SP, Brazil;2. Faculty of Computation (FACOM), Federal University of Uberlândia (UFU), Uberlândia, MG, Brazil;3. Center of Mathematics, Computing and Cognition, Federal University of ABC (UFABC), Santo André, SP, Brazil;4. Federal Institute of Triângulo Mineiro (IFTM), Ituiutaba, MG, Brazil;5. Transdisciplinary Center for Study of Chaos and Complexity (NUTECC), São José do Rio Preto Medical School, São José do Rio Preto, SP, Brazil;6. Kidney Transplant Surgical Service, Base Hospital, Fundação Faculdade Regional de Medicina (FUNFARME), São José do Rio Preto, SP, Brazil;7. Pathologic Anatomy Service, Base Hospital, Fundação Faculdade Regional de Medicina (FUNFARME), São José do Rio Preto, SP, Brazil;1. Computer Science Department, Federal University of Maranhão (UFMA), São Luís, MA, Brazil;2. Department of Informatics, University of Minho, Braga, Portugal;1. University of Pannonia, Department of Process Engineering, P.O. Box 158, Veszpreém H-8200, Hungary;2. The Finnish Microarray and Sequencing Centre, Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Tykistökatu 6A, 20520 Turku, Finland |
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| Abstract: | Intelligent agents is a research area of the Artificial Intelligence intensely studied since the 1980s. Multi-agent systems represent a powerful paradigm of analyzing, projecting, and developing complex systems. One of the main difficulties in modeling a multi-agent system is defining the coordination model, due to the autonomous behavior of the agents. Distributed Constraint Optimization Problems (DCOP) have emerged as one of most important formalisms for coordination and distributed problem solving in multi-agent systems and are capable of modeling a large class of real world problems naturally. This work aims to provide an overview and critical review of DCOP, addressing the most popular methods and techniques, the evolution and comparison of algorithms, and future perspectives on this promising research area. |
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| Keywords: | Multi-agent systems Autonomous agents Distributed Constraint Optimization Problems |
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