AI RESEARCH
Large Language Models as Optimization Controllers: Adaptive Continuation for SIMP Topology Optimization
arXiv CS.AI
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ArXi:2603.25099v1 Announce Type: cross We present a framework in which a large language model (LLM) acts as an online adaptive controller for SIMP topology optimization, replacing conventional fixed-schedule continuation with real-time, state-conditioned parameter decisions.