ShapeBench: A Scalable Benchmark and Diagnostic Suite for Standardized Evaluation in Aerodynamic Shape Optimization
arXiv:2605.20763v1 Announce Type: new Abstract: Rapid progress in aerodynamic shape optimization (ASO) has outpaced currently-available standardized evaluation frameworks. Fair comparison requires a unified benchmark spanning diverse shape classes, objective formulations, and matched-budget state-of-the-art baselines. We introduce ShapeBench, an open-source ASO benchmark with a unified API spanning 103 tasks across eight shape categories and multiple optimization regimes. Each ShapeBench task includes a validated surrogate for fast search; when feasible, a high-fidelity Computational Fluid Dyn
The rapid progress in aerodynamic shape optimization (ASO) has created a need for standardized, scalable benchmarks to ensure fair comparison and accelerate research, which ShapeBench aims to address.
ShapeBench provides a unified, open-source framework for evaluating ASO methods, which will accelerate advancements in fields reliant on efficient aerodynamic design, such as aerospace and automotive engineering.
The availability of ShapeBench will standardize the evaluation of ASO techniques, enabling faster iteration, clearer performance comparisons, and the development of more effective optimization algorithms.
- · Aerospace industry
- · Automotive industry
- · AI/ML researchers in optimization
- · Design and engineering firms
- · Organizations relying on proprietary, non-standardized ASO benchmarks
ShapeBench directly facilitates more rapid and robust development of aerodynamic design optimization methods.
Improved ASO capabilities could lead to more fuel-efficient aircraft and vehicles, reducing operating costs and environmental impact.
The widespread adoption of standardized ASO could accelerate the design cycles of complex systems, impacting competitive landscapes in advanced manufacturing.
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Read at arXiv cs.LG