Shaoliang Yang

Large language models as optimization controllers: Adaptive continuation for SIMP topology optimization

We present a framework in which a large language model (LLM) acts as a state-conditioned software control layer for solid isotropic material with penalization (SIMP) topology optimization, selecting continuation parameters from the current solver state rather than a fixed open-loop schedule. Every k th iteration, the L...