Skip to content

Robustimizer

Surrogate-model based robust optimization software

Include uncertainty in surrogate-based optimization

Communicate with user-defined scripts for automated features

Combine robustness and reliability in optimization

Advanced uncertainty quantification using analytical methods

Robustimizer robust optimization software features 2019

Robust Optimization Software Features

Sensitivity analysis and dimension reduction in robust optimization

Design of experiments (DOE) using Latin hypercube sampling (LHS)

Principal component analysis to obtain uncorrelated data

Creation, validation and visualization of surrogate model (Metamodel)

Uncertainty propagation by Monte Carlo and advanced analytical methods

User-defined samples for DOE and MC for maximum flexibility

Incorporating reliability constraints in robust optimization

Higher order moments (Skewness) in robustness and reliability

Sequential improvement of surrogate model using multiple techniques

Automatic update of surrogate model with user-defined scripts

Robustimizer tutorials

Robustimizer is a software tool to perform optimization under the influence of uncertainties. Classical deterministic optimization neglects the uncertainties which are present in model input parameters. However, If some of those inputs are hard to control or out of control, the uncertainties will be present in the output. In this case the objective is to find a setting of controllable parameters at which the noise parameters have the least influence on the output. Usually a mathematical model or a surrogate model of the process is required to perform this type of optimization. Therefore, an in-depth understanding of the system is required. To learn more about robust optimization using Robustimizer follow these links:

Introduction to Robustimizer

Example 1: Mathematical function

Example 2: Basketball free throw

Learn more about advanced features of Robustimizer

Tutorial robust optimization using Robustimizer

Get the download link instantly

Fill in the form and then receive the download link instantly.

You can download the older versions of Robustimizer here. For the latest updates and new features visit GitHub repository of Robustimizer. Robustimizer is free to use for academic and research purpose. For questions or feedbacks please contact us.

Before requesting the link again, please check the spam folder of your email. You will receive the download link instantly.

Contact us
For questions and recommendation please contact us via this form. We will get back to you as soon as possible. Do you need training or do you want to know if you can use this tool for your application? Please contact us via this form and we will arrange free training or more detailed reading material.