Abstract: Distribution network optimization is represented by non-convex power flow equations, where traditional convex relaxation methods may lead to inaccurate or infeasible solutions. To ...

Abstract: The original neural network optimization algorithm (NNA) faces issues like weak global search capability, susceptibility to local optima in the later optimization stages, and inadequate ...

In this tutorial, we shift from traditional prompt crafting to a more systematic, programmable approach by treating prompts as tunable parameters rather than static text. Instead of guessing which ...