Can't get the result in an acceptable time with the feasible model

[songtaowang-saa]

dear, community!
I have a question about too much time that yalmip spends to solves my optimization problem. First, I think the obj and constraints are right, and I make sure that the model is feasible by using gurobi_iis function. But when I use optimize() function to solve the problem, It takes more than 20 minutes and still doesn't have a optimal result. So I want to know the problem in my code that cause this situation.(The picture below shows the problem)


the detail message in the process:
-Presolved model has 21 quadratic constraint(s)
-Root relaxation presolved model has 21 second-order cone constraints
I think that the problem maybe relate to above message, but I don't know how to solve it.
whole message:

[johanlofberg]

You have 100 sos2 constraints. Any reason to believe that it should be possible to solve the MISCOP-model efficiently?

[songtaowang-saa]

Sorry. Could you please give me a link that introdces the MISCOP_model. I have no idea about what is the MISCOP_model. Secondly, in the other code that I wrote, the result can be obtained in 5 seconds with the similar content and different data, and there is 188 sos1 constraints. if possiable, can you give me further explaination about the problem. I will be great thankful for your help.