I need to run Optimization using models I generated in Regression Learner

Hi, all!

I desperately need help. As the title says, I generated multiple surrogate models on Regression Learner; now I need to use these models in a gradient-based optimization process.

I've tried Export>Generate Function & Export>Export Model / Export Model For Deployment. None of them work, I don't understand how anything works. If I can convert the surrogate models into matlab functions, these matlab functions are supposed to go into the 'select problem data>Objective function'? How do I define lower/upper bounds with just one value for each when the surrogate models have multiple inputs?? How do I define non-linear constraints??

I put an image just to explain my problem better.

Thank you....

[dpb]

What tool are you trying to use? I've never done anything with the apps; I've do everything at the command line so would have to try to go look at the doc..

[Roberto Louis]

Sorry to reply late. I'm using Regression Learner in the "Machine Learning and Deep Learning" section. I tried to Optimization tool in the "Math, Statistics, and Optimization" section, but its no longer available and Matlab keeps on redirecting me to the Live Editor.