Cargando…
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...
Autores principales: | Shi, Meifeng, Liang, Feipeng, Chen, Yuan, He, Ying |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
|
Materias: | |
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 |
Ejemplares similares
-
A review of swarm intelligence algorithms deployment for scheduling and optimization in cloud computing environments
por: Qawqzeh, Yousef, et al.
Publicado: (2021) -
A robust cooperative localization algorithm based on covariance intersection method for multi-robot systems
por: Wang, Miao, et al.
Publicado: (2023) -
Two-stage training algorithm for AI robot soccer
por: Kim, Taeyoung, et al.
Publicado: (2021) -
A-RESS new dynamic and smart system for renewable energy sharing problem
por: Toumia, Imen, et al.
Publicado: (2021) -
Smart grid energy scheduling based on improved dynamic programming algorithm and LSTM
por: Huang, Xiaoyu, et al.
Publicado: (2023)