Learning Improvement Heuristics and Neural Local Search

Beyond constructing solutions in a single pass, I research learned improvement operators that iteratively refine an existing solution. This includes neural local search, guided and large-neighborhood search, and hybrid schemes that combine learned policies with classical operations-research techniques to reach lower optimality gaps within a fixed compute budget.