Network optimization with heuristic rational agents
Published: Nov 1, 2011
Abstract
We study a distributed model for optimizing a sum of convex objective functions corresponding to agents in the network. At random times, agents execute actions based on heuristic rational rules considering only local information. Heuristic rational rules are probabilistic and their expectation yields the actual optimal action. Under heuristic rational rule iterations, it is shown that global network cost comes within a close vicinity of the...
Paper Details
Title
Network optimization with heuristic rational agents
Published Date
Nov 1, 2011
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