Abstract: Permutation flowshop problem is a classic problem in combinatorial optimization. In this paper, we propose a deep reinforcement learning (DRL) model with heterogeneous network according to ...
Abstract: We develop DeepOPF-Stoc as a neural network approach to efficiently solve the two-stage stochastic AC optimal power flow (AC-OPF) problem, which emphasizes reliable and cost-effective grid ...
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