PACE: Primitive-Aware Code Evolution for Automated Algorithm Design
Large Language Model (LLM)-based automated algorithm design typically evolves algorithms as complete, indivisible programs. While this whole-program perspective simplifies the search space, it fundamentally couples the useful local logic to its host program. Consequently, valuable code snippets vanish when the overall program is discarded, making it highly difficult to assess the contribution of individual algorithmic components.To address this, we propose Primitive-Aware Code Evolution (PACE), which decouples local logic from complete programs by representing it as persistent units called Executable Algorithmic Primitives (EAPs). To enable code-level transfer, PACE maintains a dynamic se...
| Authors | Zhuoliang Xie, Ruihao Zheng, Xiang Xu et al. |
|---|---|
| Primary category | cs.SE |
| Published | 7 August 2026 |
| Last updated at source | 7 August 2026 |
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