Why are the return results of the fcn2optimexpr function different between MATLAB2019b and MATLAB2023b?

My codes is for solving a optimization programming ,therefore, the uplevel objective function needs to the optimal value of the downlevel objective function. I adopt Problem-based optimization way to describe the problem，fcn2optimexpr function is used to construct the uplevel objective function . The key code part is as follows:

..................

x = optimvar('x',2,1,'Type','continuous','LowerBound',0,'UpperBound',1);

[f,exitflag] = fcn2optimexpr(@mubiaofunction,x)

prob = optimproblem('ObjectiveSense','min');

prob.Objective = f;

.................

function [f,exitflag]=mubiaofunction(x)

y = optimvar('y',2,1,'Type','continuous','LowerBound',0,'UpperBound',1);

end

It can be seen that I want to construct an optimization express f for function mubiaofunction(x), this function obtain solution results of the downlevel optimization problem about variables y, however when I run the code in MATLAB2023b, the output display is:

It can be seen the f only contains uplevel variables x

when I run the same code in MATLAB2019b, the output display is:

I can judge that the results of MATLAB2019b are correct， However, I need to call the ga function to solve this Problem-based optimization model. As far as I know, The solve function can only be called ga in matlab2023b version， so how should I solve this puzzle I raised?

Answer 1

[Alan Weiss]

I think that you need to turn off static analysis:

[f,exitflag] = fcn2optimexpr(@mubiaofunction,x,Analysis="off")

Alan Weiss

MATLAB mathematical toolbox documentation

[Du Wei]

Dear Alan Weiss:

It's a great honor to get your help.I just tested it and confirmed that your suggestion can solve the problem. I would like to express my sincere thanks to you！

Best Wishes！ Du Wei