No more trial-and-error. Traditionally, a design engineer starts from a set of input variables and manually tries to improve the design with respect to frequently conflicting attributes, such as weight, cost and product performance measures.

Noesis now inverts the whole process.  The design engineer sets targets for the desired outputs and the software now works backwards to identify the input parameters that match the design criteria through advanced iterative and optimization methods. Noesis optimization techniques ensure that optimal product attributes are found.