Feb, 2024
针对条件变化下的昂贵实验与模拟开发一种实用的贝叶斯优化算法
On the development of a practical Bayesian optimisation algorithm for expensive experiments and simulations with changing environmental conditions
Mike Diessner, Kevin J. Wilson, Richard D. Whalley
TL;DR在变化环境下,该研究扩展了贝叶斯优化方法,通过在可控和环境变量上拟合全局模型,在测量到不可控变量的条件下仅优化可控参数,以提高实验效果。