系统梳理人工智能方法在引力波数据分析中的应用，从信号识别、参数估计到模拟推断，构建物理驱动与数据驱动相融合的方法论体系。全书五部十二章；提供 HTML 在线阅读、PDF 下载与 LaTeX 源码。
🧬 Revolutionary framework that uses Large Language Models to automatically design Large Neighborhood Search operators for combinatorial optimization. Through synergy-aware co-evolution of destroy and repair operators, achieves near-optimal solutions with reduced computational budgets on TSP and CVRP benchmarks.
Revolutionary framework using LLMs to automatically design Large Neighborhood Search operators through synergy-aware co-evolution. Achieves near-optimal solutions on TSP and CVRP benchmarks with strong generalization.
🧬 Revolutionary LLM-guided framework for automated algorithmic discovery in gravitational wave detection. Combines evolutionary optimization with Monte Carlo Tree Search to achieve 20.2% improvement over domain-specific methods and 59.1% over LLM-based optimization frameworks on MLGWSC-1 benchmark.