Parametric Analysis vs. Optimization

Engineers often rely on parametric studies to analyze device performance within different parameter sets and often wonder if it’s possible to go beyond that in order to directly find the best solution. Optimization methods can help by automatically searching the design space efficiently and finding the optimum solution.
Let’s first define parametric analysis, then explore the differences between these studies and optimization.

Parametric Analysis

A parameter is defined as a numerical or other measurable factor forming one of a set that defines a system or sets of conditions of its operation. Parameters are elements of a system that are useful or critical to identifying a system or evaluating a system’s performance, status, or condition.

Optimization
Optimization, conversely, is intended to produce an optimal solution or an optimal compromise between competing parameters. Unlike parametric analysis which requires an initial design for examination, optimization offers engineers a blank slate to explore the design space and create optimal designs based on the constraints defined by the user.
Altair SimLabTM, which offers automated multiphysics workflows for faster analysis and optimization, and Altair HyperWorksTM, for detailed modeling of complex designs, are two tools that provide robust applications workflows to facilitate optimization studies of parametrized models.

For high-fidelity modeling of complex geometries, analysts can use HyperWorks to intuitively perform direct modeling for geometry creation and editing, mid-surface extraction, surface and mid-meshing, mesh quality correction, combined with efficient assembly management and process guidance. The HyperWorks Design Explorer is an end-to-end workflow for real time performance prediction and evaluation.

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