Dual decomposition for multi-agent distributed optimization with coupling constraints
We study distributed optimization in a cooperative multi-agent setting, where agents have to agree on the usage of shared resources and can communicate via a time-varying network to this purpose. Each agent has its own decision variables that should be set so as to minimize its individual objective...
मुख्य लेखकों: | Falsone, A, Margellos, K, Garatti, S, Prandini, M |
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स्वरूप: | Journal article |
प्रकाशित: |
Elsevier
2017
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समान संसाधन
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Distributed constrained convex optimization and consensus via dual decomposition and proximal minimization
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Proximal minimization based distributed convex optimization
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Linear programs for resource sharing among heterogeneous agents: a probabilistic analysis of the maximum capacity in terms of number of agents
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