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Video streaming imposes high rate requirement and stringent constraints on resource limited mesh networks. In this work, we develop a distributed asynchronous particle swarm optimization (DAPSO) algorithm for resource allocation and performance optimization scheme for video communication over large-scale mesh networks. Unlike many network resource allocation performance optimization algorithms in the literatures which are able to handle convex network utility functions, the proposed scheme is able to handle generic nonlinear network utility functions. We will use a specific rate allocation and quality optimization problem for an example to demonstrate the efficiency of the proposed scheme and compare its performance with other algorithms, such as distributed gradient search.