AutoEP: LLMs-Driven Automation of Hyperparameter Evolution for Metaheuristic Algorithms
ICLROral2026
TL;DR
Dynamically configuring algorithm hyperparameters is a fundamental challenge in computational intelligence. While learning-based methods offer automation, they suffer from prohibitive sample complexity and poor generalization.
Opening excerpt from the authors’ abstract. source
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Topics
sample complexity generalization llm