Automated Algorithmic Discovery for Scientific Computing through LLM-Guided Evolutionary Search: A Case Study in Gravitational-Wave Detection
He Wang Research Associate Knowledge increases by sharing but not by saving
Highlights Breakthrough in Automated Algorithm Discovery : Evo-MCTS represents a paradigm shift in scientific computing by enabling automated discovery of interpretable algorithms that match or exceed human-designed solutions. Exceptional Performance Gains : Achieves 20.2% improvement over domain-specific methods and 59.1% improvement over LLM-based optimization frameworks in gravitational wave detection tasks. Interpretability-First Design : Unlike black-box optimization approaches, Evo-MCTS pr