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Distributed constraint optimization problems and applications: A survey
The field of multi-agent system (MAS) is an active area of research within artificial
intelligence, with an increasingly important impact in industrial and other real-world …
intelligence, with an increasingly important impact in industrial and other real-world …
Distributed constraint optimization problems: Review and perspectives
AR Leite, F Enembreck, JPA Barthes - Expert Systems with Applications, 2014 - Elsevier
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 …
1980s. Multi-agent systems represent a powerful paradigm of analyzing, projecting, and …
A tutorial on optimization for multi-agent systems
Research on optimization in multi-agent systems (MASs) has contributed with a wealth of
techniques to solve many of the challenges arising in a wide range of multi-agent …
techniques to solve many of the challenges arising in a wide range of multi-agent …
[HTML][HTML] Explorative anytime local search for distributed constraint optimization
R Zivan, S Okamoto, H Peled - Artificial Intelligence, 2014 - Elsevier
Abstract Distributed Constraint Optimization Problems (DCOPs) are an elegant model for
representing and solving many realistic combinatorial problems that are distributed by …
representing and solving many realistic combinatorial problems that are distributed by …
Balancing exploration and exploitation in incomplete min/max-sum inference for distributed constraint optimization
Abstract Distributed Constraint Optimization Problems (DCOPs) are NP-hard and therefore
the number of studies that consider incomplete algorithms for solving them is growing …
the number of studies that consider incomplete algorithms for solving them is growing …
[PDF][PDF] Max/min-sum distributed constraint optimization through value propagation on an alternating DAG
R Zivan, H Peled - Proceedings of the 11th International Conference on …, 2012 - ifaamas.org
ABSTRACT Distributed Constraint Optimization Problems (DCOPs) are NP-hard and
therefore the number of studies that consider incomplete algorithms for solving them is …
therefore the number of studies that consider incomplete algorithms for solving them is …
[HTML][HTML] Governing convergence of Max-sum on DCOPs through dam** and splitting
Max-sum is a version of Belief Propagation, used for solving DCOPs. In tree-structured
problems, Max-sum converges to the optimal solution in linear time. Unfortunately, when the …
problems, Max-sum converges to the optimal solution in linear time. Unfortunately, when the …
PC-SyncBB: A privacy preserving collusion secure DCOP algorithm
In recent years, several studies proposed privacy-preserving algorithms for solving
Distributed Constraint Optimization Problems (DCOPs). Those studies were based on …
Distributed Constraint Optimization Problems (DCOPs). Those studies were based on …
Communication-aware local search for distributed constraint optimization
Most studies investigating models and algorithms for distributed constraint optimization
problems (DCOPs) assume that messages arrive instantaneously and are never lost …
problems (DCOPs) assume that messages arrive instantaneously and are never lost …
[HTML][HTML] Privacy preserving region optimal algorithms for symmetric and asymmetric DCOPs
Region-optimal algorithms are local search algorithms for solving Distributed Constraint
Optimization Problems (DCOPs). In each iteration of the search in such algorithms, every …
Optimization Problems (DCOPs). In each iteration of the search in such algorithms, every …