HyperStudy is a design exploration tool for engineers and designers. It automatically creates intelligent design variants, manages runs, and collects data. Users are then guided to understand data trends, perform trade-off studies and optimize design performance and reliability. HyperStudy enables users to explore, understand and improve their designs using methods such as design-of-experiments, response surface modelling and optimization. Results from these studies can be easily analyzed and interpreted using HyperStudy’s advanced post-processing and data mining capabilities. HyperStudy’s intuitive user interface combined with its seamless integration to HyperWorks for direct model parameterization and CAE result readers simplifies the study setup.
References in zbMATH (referenced in 1 article )
Showing result 1 of 1.
- Wang, Hu; Li, Guangyao: Min-median-max metamodel-based unconstrained nonlinear optimization problems (2012)