A local cost simulation-based algorithm to solve distributed constraint optimization problems

As an important incomplete algorithm for solving Distributed Constraint Optimization Problems (DCOPs), local search algorithms exhibit the advantages of flexibility, high efficiency and high fault tolerance. However, the significant historical values of agents that affect the local cost and global c...

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Detalles Bibliográficos
Autores principales: Shi, Meifeng, Liang, Feipeng, Chen, Yuan, He, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Agents and Multi-Agent Systems
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280401/
https://www.ncbi.nlm.nih.gov/pubmed/37346530
http://dx.doi.org/10.7717/peerj-cs.1296

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280401/
https://www.ncbi.nlm.nih.gov/pubmed/37346530
http://dx.doi.org/10.7717/peerj-cs.1296

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