Grouping and optimal decision timing based on XGBoost-dual-objective optimization under multi-feature fusion
Optimizing decision timing is a core component of precise decision-making across multiple domains. However, traditional methods suffer from limitations such as over-reliance on a few core features, imbalance between cost and performance objectives, and weak resistance to interference. To address these issues, this pape...