On the use of surrogate models in engineering design optimization and exploration
Author:
Affiliation:
1. Institut Teknologi Bandung, Bandung, Indonesia
2. The Hong Kong University of Science and Technology, Hong Kong, China
3. Tohoku University, Sendai, Japan
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3319619.3326813
Reference115 articles.
1. Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection
2. Application of an Algorithmically Differentiated Turbomachinery Flow Solver to the Optimization of a Fan Stage
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