large language models 2algorithm discovery 1automated objective discovery 1combinatorial optimization 1evolutionary algorithms 1experience replay 1heuristic design 1neural combinatorial optimization 1partial differential equations 1physics-informed neural networks 1preference learning 1reinforcement learning 1
From the 3 of 15 linked papers with an AI index.
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cs.AI2026
EvoPINN: Agentic Discovery of Executable Algorithms for Physics-Informed Neural Networks
Peng Yin, Kai Li, Yifan Zhang +1
EvoPINN is an agentic framework that uses a large language model to automatically generate and verify executable algorithms for physics-informed neural networks, improving the accu…
cs.AI2026
Game-Theoretic Co-Evolution for LLM-Based Heuristic Discovery
Xinyi Ke, Kai Li, Junliang Xing +2
Large language models (LLMs) have enabled rapid progress in automatic heuristic discovery (AHD), yet most existing methods are predominantly limited by static evaluation against fi…