• Corpus ID: 53639140

Hybrid DCOP Solvers: Boosting Performance of Local Search Algorithms

@article{Leeuwen2020HybridDS,
  title={Hybrid DCOP Solvers: Boosting Performance of Local Search Algorithms},
  author={Cornelis Jan van Leeuwen and Przemyzlaw Pawelczak},
  journal={ArXiv},
  year={2020},
  volume={abs/2009.02240}
}
We propose a novel method for expediting both symmetric and asymmetric Distributed Constraint Optimization Problem (DCOP) solvers. The core idea is based on initializing DCOP solvers with greedy fast non-iterative DCOP solvers. This is contrary to existing methods where initialization is always achieved using a random value assignment. We empirically show that changing the starting conditions of existing DCOP solvers not only reduces the algorithm convergence time by up to 50\%, but also… 

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