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Explorative anytime local search for distributed constraint optimization
Artificial Intelligence 212 (C):1-26 (2014)
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Citations of this work
Privacy preserving region optimal algorithms for symmetric and asymmetric DCOPs.Tal Grinshpoun, Tamir Tassa, Vadim Levit & Roie Zivan - 2019 - Artificial Intelligence 266 (C):27-50.
Governing convergence of Max-sum on DCOPs through damping and splitting.Liel Cohen, Rotem Galiki & Roie Zivan - 2020 - Artificial Intelligence 279 (C):103212.
Incentive-based search for efficient equilibria of the public goods game.Vadim Levit, Zohar Komarovsky, Tal Grinshpoun & Amnon Meisels - 2018 - Artificial Intelligence 262 (C):142-162.
Privacy preserving solution of DCOPs by mediation.Pablo Kogan, Tamir Tassa & Tal Grinshpoun - 2023 - Artificial Intelligence 319 (C):103916.
References found in this work
Adopt: asynchronous distributed constraint optimization with quality guarantees.Pragnesh Jay Modi, Wei-Min Shen, Milind Tambe & Makoto Yokoo - 2005 - Artificial Intelligence 161 (1-2):149-180.
Bounded approximate decentralised coordination via the max-sum algorithm.A. Rogers, A. Farinelli, R. Stranders & N. R. Jennings - 2011 - Artificial Intelligence 175 (2):730-759.
Distributed stochastic search and distributed breakout: properties, comparison and applications to constraint optimization problems in sensor networks.Weixiong Zhang, Guandong Wang, Zhao Xing & Lars Wittenburg - 2005 - Artificial Intelligence 161 (1-2):55-87.
The distributed breakout algorithms.Katsutoshi Hirayama & Makoto Yokoo - 2005 - Artificial Intelligence 161 (1-2):89-115.
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