Abstract
In distributed constraint optimization, agents executing BnB-ADOPT+ react eagerly to cost changes: they send non-redundant COST messages to their parents as soon as they receive new messages. We have observed that a lazier reaction (not sending COST messages until a condition is met) substantially decrements the number of messages sent and causes only a small variation in ENCCCs. This approach combines nicely with soft arc consistency maintenance during search. We provide experimental evidence of the benefits of this approach on several benchmarks.
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Chechetka, A., & Sycara, K. (2006). No-commitment branch and bound search for distributed constraint optimization. In: Proceedings of the AAMAS 2006.
Gutierrez, P., Lee, J., Lei, K., Mak, T., Meseguer, P. (2013). Maintaining soft arc consistency in BnB-ADOPT+ during search. In: Proceedings of the CP 2013 LNCS 8124.
Gutierrez, P., & Meseguer, P. (2012). Removing redundant messages in N-ary BnB-ADOPT. Journal of Artificial Intelligence Research, 287–304.
Modi, P.J., Shen, W.-M., Tambe, M., ADOPT, M. Yokoo. (2005). Asynchronous distributed constraint optimization with quality guarantees. Artificial Intelligence, 161, 149–180.
Peri, O., & Meisels, A. (2013). Synchronizing for performance - DCOP algorithms. In: Proceedings of the ICAART 2013.
Yeoh, W., Felner, A., Koenig, S. (2010). BnB-ADOPT: An asynchronous branch-and-bound DCOP algorithm. Journal of Artificial Intelligence Research, 38, 85–133.
Yin, Z. (2008). USC DCOP repository. Meeting scheduling and sensor net datasets. http://teamcore.usc.edu/dcop.
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Lee, J.H.M., Meseguer, P. & Su, W. Adding laziness in BnB-ADOPT+ . Constraints 20, 274–282 (2015). https://doi.org/10.1007/s10601-014-9177-3
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DOI: https://doi.org/10.1007/s10601-014-9177-3