Explorative anytime local search for distributed constraint optimization

@article{Zivan2014ExplorativeAL,
  title={Explorative anytime local search for distributed constraint optimization},
  author={Roie Zivan and Steven Okamoto and Hilla Peled},
  journal={Artif. Intell.},
  year={2014},
  volume={212},
  pages={1-26}
}
Distributed Constraint Optimization Problems (DCOPs) are an elegant model for representing and solving many realistic combinatorial problems that are distributed by nature. DCOPs are NP-hard and therefore many recent studies consider incomplete algorithms for solving them. Distributed local search algorithms, in which agents in the system hold value assignments to their variables and iteratively make decisions on whether to replace them, can be used for solving DCOPs. However, because of the… CONTINUE READING
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