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A new distributed optimization control scheme is presented to achieve the state agreement in finite time while minimizing the sum of each agent\u2019s local cost function. The proposed algorithm has the advantage of being able to achieve distributed finite-time optimization consensus under general unbalanced connected directed communication graphs. By virtue of finite-time Lyapunov theory and convex optimization, the finite-time convergence for the algorithm is analyzed. 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