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- W3110078079 abstract "Collective knowledge or consensus is used widely in our life. Determining the collective knowledge of a collective depends on the knowledge states of collective members. However, in a collective, each member has its knowledge, and knowledge states are often contradictory. Determining consensus satisfying postulate 2-Optimality of a collective is an NP-hard problem, and heuristic algorithms have been suggested. The basic algorithm is the most popular for this task. However, this algorithm can get stuck in local optima, which limits its consensus quality. To obtain consensus with high quality, in this study, we propose two approaches to avoid getting stuck in local optima. The experimental results show that the consensus quality generated by these approaches is at least 2.05% higher than that of the basic algorithm." @default.
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- W3110078079 date "2020-01-01" @default.
- W3110078079 modified "2023-10-01" @default.
- W3110078079 title "Overcoming Local Optima for Determining 2-Optimality Consensus for Collectives" @default.
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- W3110078079 doi "https://doi.org/10.1007/978-3-030-63007-2_2" @default.
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