We investigate how to set the inlet temperature, and arrange a set of vehicle parts inside a paint curing oven, so as to maximize a non-convex, non-linear objective function. Standard methods for solving this kind of problem require a large number of objective function evaluations, each of which depends on a computationally expensive (minutes/hours) CFD simulation.

中文翻译：

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用于优化固化炉的机器学习替代品

我们研究了如何设置入口温度，并在油漆固化炉内布置一组车辆部件，以最大化非凸、非线性目标函数。解决此类问题的标准方法需要大量的目标函数评估，每个评估都依赖于计算成本高昂（分钟/小时）的 CFD 模拟。