IMPROVEit is the most modern and easy-to-use software to perform automated optimization research and regression analysis in a very user-friendly environment.
Automated optimization research
With IMPROVEit engineers can automatize their design process, letting the computer to dialog with most of their CAE software, changing design parameters and analysing results guided by its internal artificial intelligence.
Everything starts with a certain repetitive sequence of design operations: CAD design -> FEM analysis -> CFD analysis, or Matlab algorithm -> ParaView postprocessing, or Python script -> Excel sheet -> pdf report,… Whatever is the yours, you can instruct the software on it and let IMPROVEit repeat your working sequence autonomously any number of times. For each workflow, you will precisely define what are the input parameters that the software can change, and in which range, and what are the numerical values that have to be observed as output. After that, you can manually define the list of inputs that you want to use and run the sequence, or let IMPROVEit choose the inputs for you, after providing a goal of the optimization task.
By letting IMPROVEit do this repetitive work for you, your work can be ennobled to do more intellectual activities and doubling enterprise workforce.
The key aspect of IMPROVEit compared to the major of competitors is its top-level and modern intelligence: IMPROVEit quickly guess the underlying relationship between inputs and outputs of any black-box phenomena, even for complex systems and with a very small number of sampling points, and users can take advantage of this knowledge by:
- understanding what is the optimal set of inputs that grants for the maximum performance
- quickly querying about the guessed output of any new set of inputs, without performing any costly calculation, as a “what-if” tool
The engine is carefully optimized in fact for black-box and costly functions, typical of any modern engineering work.
With IMPROVEit scientist and researchers can enter their lab database in the software under the form of phenomena that are supposed to be connected each other but which particular relationship is unknown or excessively complex.
The particular regression algorithms of the software will analyse the database until the relationship behind the unknown phenomena will be discovered and exposed to the user. Thanks with this extremely powerful tool researches will then have a clear understanding of the mechanics of a physical phenomena and what are the cause-effect links between certain initial sample properties and the observed behaviours.
Medical, statistical, chemical research world can benefit by using this software.