ShapeBench: A Scalable Benchmark and Diagnostic Suite for Standardized Evaluation in Aerodynamic Shape Optimization
Published in Preprint, 2025
Aerodynamic shape optimization remains difficult to benchmark and compare across methods because datasets, evaluation protocols, and quality metrics vary widely across the literature. ShapeBench addresses this gap by introducing a large-scale benchmark and diagnostic suite for aerodynamic shape optimization. The benchmark includes standardized datasets, physics-informed evaluation metrics, and a framework for comparing optimization outcomes across representative aerodynamic design problems. We highlight how ShapeBench enables more consistent performance analysis and better diagnosis of optimization behavior across architectures and problem settings.
Paper PDF: https://yiren6.github.io/files/Shen_2025_Shapebench.pdf
Recommended citation: Fazliani, S.; Chawla, K.; Guo, J.; Shen, Y.; Ihme, M.; Udell, M. (2025). "ShapeBench: A Scalable Benchmark and Diagnostic Suite for Standardized Evaluation in Aerodynamic Shape Optimization." Preprint.
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