Optimization with probabilistic, interval and mixed uncertainties
What is it about?
Horsetail matching is a flexible approach for solving optimization under uncertainty problems. It can easily handle problems with probabilistic uncertainties, interval uncertainties, and mixed (both probabilistic and interval together) uncertainties.
Why is it important?
Accounting for uncertainty is critical in design of engineering systems. There are many different types of uncertainty that affect system performance and reliability. Most existing methods are restrictive in the types of uncertainty that can be handled. Horsetail matching overcomes this challenge.
The following have contributed to this page: Prof Karen E Willcox
In partnership with: