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Distributed Constraint Optimization Problems (DCOPs) can be optimally solved by distributed search algorithms, such as ADOPT and BnB-ADOPT.
[PDF] Distributed Constraint Optimization Problems related with Soft Arc ...
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In this thesis we aim to explore the main- tenance of different levels of soft arc consistency in distributed search when solving DCOPs. 1. PRELIMINARIES.
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Distributed Constraint Optimization Problems (DCOPs) can be used for model- ing many multi-agent coordination problems. DCOPs involve a finite number of.
Distributed Constraint Optimization Problems (DCOPs) can be optimally solved by distributed search algorithms, such as ADOPT and BnB-ADOPT.
Distributed Constraint Optimization Problems (DCOPs) can be used for model- ing many multi-agent coordination problems. DCOPs involve a finite number of.
In centralized solving, maintaining soft arc consistency during search has proved to be beneficial for performance. In this thesis we aim to explore the ...
Distributed Constraint Optimization Problems (DCOPs) can be optimally solved by distributed search algorithms, such as ADOPT and BnB-ADOPT.
An efficient method that applies soft arc consistency (soft AC) enforcement to DCOP, which is more efficient than previous methods and focuses on DCOP ...
In this paper, we propose an efficient method that applies directed soft arc consistency to a DCOP. In particular, we focus on DCOP solvers that employ pseudo- ...
Section 7 discusses DCOP models in which agents are non-cooperative. For each of these models, the paper introduces their formal definitions, discusses related ...