Dear UQLab

Greeting on your new release: V 1.4

I have one question, in a sentence:

**How to achieve convergence in an arbitrary RBDO problem?**

In detail, I have a surrogate-assisted RBDO problem with the following configuration:

- Both of the Two-Level and QMC options are applied separately.
- HGA used as the optimization algorithm
- Target beta=4
- Max optimization iteration: 1000
- Reliability methods: Both of the MCS and Subset methods are applied separately
- Both of the PCE and Kriging methods are applied separately.
- Diffrenet initial samples are defined: 20, 40, 50, 60, 100, 200
- Different added samples are defined: 10, 20, 30, 40, 60, 100

This RBDO problem consists of **21 hard constraints**. I also record the values of constraints which are mostly **positive**!.

Unfortunately, the â€ś*No Feasible Point*â€ť is the output.

Is there any opportunity for me to take the advantage of having the guidance of @moustapha or other experts?

Best regards

Ali