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….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…. 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…. optimization MATLAB Answers — New Questions

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