论文标题
通过样品有效批次贝叶斯优化的高级制造配置
Advanced Manufacturing Configuration by Sample-efficient Batch Bayesian Optimization
论文作者
论文摘要
我们提出了一个基于贝叶斯优化的昂贵评估高级制造方法的配置和操作的框架。该框架统一了量身定制的采集功能，并行的获取过程以及为优化过程提供上下文的过程信息的集成。 \ cmtb {在最新的基准测试问题上证明，分析和比较了新颖的采集函数。我们将优化方法应用于大气等离子体喷涂和融合沉积建模。}我们的结果表明，所提出的框架可以有效地找到产生所需结果的输入参数并最大程度地减少过程成本。
We propose a framework for the configuration and operation of expensive-to-evaluate advanced manufacturing methods, based on Bayesian optimization. The framework unifies a tailored acquisition function, a parallel acquisition procedure, and the integration of process information providing context to the optimization procedure. \cmtb{The novel acquisition function is demonstrated, analyzed and compared on state-of-the-art benchmarking problems. We apply the optimization approach to atmospheric plasma spraying and fused deposition modeling.} Our results demonstrate that the proposed framework can efficiently find input parameters that produce the desired outcome and minimize the process cost.
