Distributed constraint optimization

Distributed constraint optimization (DCOP or DisCOP) is the distributed analogue to constraint optimization. A DCOP is a problem in which a group of agents must distributedly choose values for a set of variables such that the cost of a set of constraints over the variables is minimized. Distributed Constraint Satisfaction is a framework for describing a problem in terms of constraints that are known and enforced by distinct participants (agents). The constraints are described on some variables with predefined domains, and have to be assigned to the same values by the different agents.

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enDistributed constraint optimization (DCOP or DisCOP) is the distributed analogue to constraint optimization. A DCOP is a problem in which a group of agents must distributedly choose values for a set of variables such that the cost of a set of constraints over the variables is minimized. Distributed Constraint Satisfaction is a framework for describing a problem in terms of constraints that are known and enforced by distinct participants (agents). The constraints are described on some variables with predefined domains, and have to be assigned to the same values by the different agents.
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enSeptember 2017
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enDistributed constraint optimization (DCOP or DisCOP) is the distributed analogue to constraint optimization. A DCOP is a problem in which a group of agents must distributedly choose values for a set of variables such that the cost of a set of constraints over the variables is minimized. Distributed Constraint Satisfaction is a framework for describing a problem in terms of constraints that are known and enforced by distinct participants (agents). The constraints are described on some variables with predefined domains, and have to be assigned to the same values by the different agents. Problems defined with this framework can be solved by any of the algorithms that are designed for it. The framework was used under different names in the 1980s. The first known usage with the current name is in 1990.
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Distributed constraint optimization
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enDistributed constraint optimization
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Cambridge University Press
Cardinality
Category:Constraint programming
Category:Mathematical optimization
Completeness (logic)
Computational complexity theory
Constraint optimization
Constraint satisfaction problem
Correctness (computer science)
Distributed algorithm
Distributed algorithmic mechanism design
Distributed computing
Domain of a function
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Event scheduling
Fair item allocation
Finite set
GNU Lesser General Public License
Graph (discrete mathematics)
Graph coloring
Injective function
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Journal of Artificial Intelligence Research
Knapsack problem
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Simultaneous game
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Optimisation sous contraintes distribuée
Q21281178
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Category:Constraint programming
Category:Mathematical optimization
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