AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The Penalty + Sequential Linearized Feasibility Seeking (SLFS) algorithm is presented, a self-supervised learning framework for multiphase distribution AC-OPF under switch-induced topology changes, demonstrating a viable path toward real-time, topology-aware AC-OPF for large-scale distribution grids.
Constrained Graph Diffusion, a graph-based generative diffusion model that learns the discrete component of mixed-integer optimization problems while integrating a training-free feasibility projection operator directly into the reverse diffusion process to steer intermediate samples toward the feasible set throughout generation, is proposed.
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