Optimal Design of Laboratory and Pilot-plant Experiments using Multiobjective Optimization

  1. Ester Forte
  2. Erik von Harbou
  3. Jakob Burger
  4. Michael Bortz
  5. Norbert Asprion

Date created: | Last Updated:


Creating DOI. Please wait...

Create DOI

Category: Project

Description: Performing an experimental design prior to the collection of data is in most circumstances important to ensure efficiency. The focus of this work is the combination of model‐based and statistical approaches to optimal design of experiments. The knowledge encoded in the model is used to identify the most interesting range for the experiments via a Pareto optimization of the most important conflicting objectives. Analysis of the trade‐offs found is in itself useful to design an experimental plan. This can be complemented using a factorial design in the most interesting part of the Pareto frontier.

License: CC-By Attribution 4.0 International


Loading files...



Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.