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随后构建XGBoost-TDLAVOA融合框架，通过MSE损失函数自动优化num_trees、max_depth等7个关键超参数。 关键技术包括：1)基于DEFORM-3D的铣削仿真数据生成；2)Tent混沌映射初始化策略；3)透镜成像反向学习机制；4)XGBoost的泰勒展开二阶近似优化。