MIL PROBLEM WITH A VECTOR DATA - HOW TO FIND AN UNIQUE SOLUTION AND NOT ONE FOR EACH DATA?

Hi!!

I'm developing an optimization problem using the problem-based structure and MILP. I'm having problems finding a global solution for a series of constraints that varies with wind data. Is it possible to adjust the problem to give a global solution instead of one for each wind data?

I'm looking forward to some help.

Thank you!

Answer 1

[Torsten]

Solutions to MILP problems are for a specific set of numerical input data (in your case wind data).

Usually, there are no symbolic solutions that are general in the sense that they could be used for differing input data.

[Luan Casagrande]

Dear Torsten, thank you for your reply.

Do you mean it is not possible to find a global solution that will satisfy the constraints for each wind data of a series of wind data, right?

Besides that, another strategy that I tried was to create a vector of constraints and optimization variables, so this way I could solve "different" problems at the same time and minimize the sum of a specific variable. I notice that Matlab does not allow me to do that as well, he ignores the vector of constraints created and just solves the problem for the last constraint defined. Is there any way that I could implement the problem to overcome this limitation?