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- W4366374749 abstract "This paper proposes a distributed constraint solving algorithm based on ant colony optimization. In view of the asymmetry of distributed constraints and the characteristics of the model, this paper mainly studies the problems of two-way solution, privacy, construction graph and transition probability in distributed constraints. The distributed constraint uses depth first pseudo tree as the structure of construction graph. To solve the problem of bidirectional constraint solving in distributed constraints, this paper introduces a tree based reverse detection mechanism, and the message passing is only related to the cumulative cost, which ensures the privacy of the agent. In addition, a local cost estimation mechanism is introduced in the heuristic part of the transition probability, that is, the heuristic information not only considers the real cost caused by the current solution and the high priority neighbor, but also considers the cost estimation value of the current solution and the neighbor, which can better evaluate the local benefits. Finally, this paper verifies that the distributed constraint algorithm outperforms the existing distributed incomplete algorithm." @default.
- W4366374749 created "2023-04-21" @default.
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- W4366374749 date "2023-03-03" @default.
- W4366374749 modified "2023-10-14" @default.
- W4366374749 title "Ant Colony Algorithm for Distributed Constrained Optimization" @default.
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- W4366374749 doi "https://doi.org/10.1109/inocon57975.2023.10101321" @default.
- W4366374749 hasPublicationYear "2023" @default.
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