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首页> 外文期刊>Journal of Quality Technology >Batch Sequential Minimum Energy Design with Design-Region Adaptation
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Batch Sequential Minimum Energy Design with Design-Region Adaptation

机译：批量顺序最小能源设计与设计区域适应

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Experiments related to nanofabrication often face challenges of resource-limited experimental budgets, highly demanding tolerance requirements, and complicated response surfaces. Therefore, wisely selecting design points is crucial in order to minimize the expense of resources while at the same time ensuring that enough information is gained to accurately address the experimental goals. In this paper, an efficient batch-sequential design methodology is proposed for optimizing high-cost, low-resource experiments with complicated response surfaces. Through the sequential learning of the unknown response surface, the proposed method sequentially narrows down the design space to more important subregions and selects a batch of design points in the reduced design region. The proposed method balances the space filling of the design region and the search for the optimal operating condition. The performance of the proposed method is demonstrated on a nanowire synthesis system as well as on an optimization test function.
机译：与纳米制造相关的实验通常面临资源有限的实验预算，高苛刻的耐受性要求和复杂的响应表面的挑战。因此，明智地选择设计点至关重要，以最大限度地减少资源的费用，同时确保获得足够的信息以准确地解决实验目标。在本文中，提出了一种优化高成本，低资源实验的高效批量顺序设计方法。通过顺序学习未知响应表面，所提出的方法顺序地将设计空间缩小到更重要的子区域，并在减小的设计区域中选择一批设计点。所提出的方法平衡了设计区域的空间填充和搜索最佳操作条件。在纳米线合成系统以及优化测试功能上证明了所提出的方法的性能。

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