Spicing up Genetic Netlist Generation with LLMs
Analog circuit topology synthesis remains challenging because useful designs occupy a tiny fraction of a combinatorial search space, and small structural changes can induce highly nonlinear changes in behavior. Evolutionary algorithms are attractive because they can optimize over discrete circuit topologies using only black-box evaluations, but they often require many SPICE simulations and may converge prematurely. We introduce LLM-SPICEMixer, a hybrid synthesis framework that augments genetic netlist generation with IGEL (Inspiration-Guided Evolution with LLMs), an LLM-based proposal operator. During search, IGEL prompts an LLM with high-performing circuits from the elite set and instruc...
| Authors | Stefan Uhlich, Yağız Gençer, Andrea Bonetti et al. |
|---|---|
| Primary category | cs.NE |
| Published | 24 August 2026 |
| Last updated at source | 24 August 2026 |
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