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.

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  1. Wang, Hu; Li, Guangyao: Min-median-max metamodel-based unconstrained nonlinear optimization problems (2012)