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- W2912098123 abstract "In this paper, a gradient-free algorithm is proposed for a set constrained distributed optimization problem in a multi-agent system under a directed communication network. For each agent, a pseudo-gradient is designed locally and utilized instead of the true gradient information to guide the decision variables update. Compared with most gradient-free optimization methods where a doubly-stochastic weighting matrix is usually employed, this algorithm uses a row-stochastic matrix plus a column-stochastic matrix, and is able to achieve exact asymptotic convergence to the optimal solution." @default.
- W2912098123 created "2019-02-21" @default.
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- W2912098123 date "2018-12-01" @default.
- W2912098123 modified "2023-10-18" @default.
- W2912098123 title "Exact Convergence of Gradient-Free Distributed Optimization Method in a Multi-Agent System" @default.
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- W2912098123 doi "https://doi.org/10.1109/cdc.2018.8619028" @default.
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