A hybrid L2O framework predicts optimal integer solutions for MIQP via neural network, recovers continuous variables with a differentiable QP layer, and trains with supervised optimality loss plus self-supervised feasibility loss.
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A Hybrid Learning-to-Optimize Framework for Mixed-Integer Quadratic Programming
A hybrid L2O framework predicts optimal integer solutions for MIQP via neural network, recovers continuous variables with a differentiable QP layer, and trains with supervised optimality loss plus self-supervised feasibility loss.