Stoch-DisPeL: exploiting randomisation in DisPeL.
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We present Stoch-DisPeL, an extension of the distributed constraint programming algorithm DisPeL which incorporates randomisation into the algorithm. We justify the introduction of stochastic moves and analyse its performance on random DisCSPs and on Distributed SAT problems. We also empirically compare Stoch-DisPeL's performance to that of DisPel and DSA-B1N - our improved version of DSA. The results obtained show a clear advantage of the introduction of random moves in DisPeL. Our new algorithm, Stoch-DisPeL, also performs better than DSA-B1N.