How to migrate an Optimization Problem obtained with 'optimproblem' to a Global Optimization Problem that you would get from 'createOptimProblem'

I was using the Optimization Toolbox and now I want to set up the same problem with the Global Optimization Toolbox using GlobalSearch (new to me).

It seems that I have to use the function 'createOptimProble', which uses different conventions than 'optimproblem'. If I already have a problem defined with 'optimproblem', call it 'prob', I would expect something like the following to work (it won't because e.g. the initial point is missing):

gs = GlobalSearch;
[xg,fg,flg,og] = run(gs,prob)

That is, I would expect 'run' to accept OptimizationProblem objects. Am I missing somethng? If not, is there a simple way to migrate OptimizationProblem objects to be used in 'run'?

ANNEX

Below the structure of my OptimizationProblem (There may be a typo, I redefined everything to make it more understandable and MWE, I cannot provide @MyFUN and the Simulink models, but they are irrelevant).

% Define optimization variable (3 parameters of a Simulink model)
x = optimvar('x', 1, 3, 'LowerBound', zeros(1, 3), 'UpperBound', 10000*ones(1, 3));

% Define optimization expression: sets the 3 parameters in the Simulink model,
% simulates it and returns 3 KPIs
[MyObj, MyConstr1, MyConstr2] = fcn2optimexpr(@MyFUN, x,...
      'OutputSize', [1, 1], 'ReuseEvaluation', true);

% Define optimization problem
prob = optimproblem;
prob.Objective = MyObj;
prob.Constraints.MyConstr1 = MyConstr1 <= ValueMyConstr1;
prob.Constraints.MyConstr2 = MyConstr2 <= ValueMyConstr2;

% Define initial point
init_point = [eps, 1000, eps];
x0.x = init_point;

% Define options
options = optimoptions(@fmincon,...
      'Display', 'iter-detailed', 'Algorithm', 'interior-point',...
      'OptimalityTolerance', 1e-10, 'StepTolerance', 1e-10,...
      'FiniteDifferenceStepSize', 1e-6);

% Solve with Optimization Toolbox 
[sol, fval, exitflag, output] = solve(prob, x0,...
       'options', options, 'solver', 'fmincon')

Thanks!

[Joan Vazquez]

Narrowing down the question, I think in this case it is better than opening a new thread:

How do I include the nonlinear constraints from an 'optimproblem' in 'createOptimProblem'?

Note that '@MyFun' runs a Simulink model and returns three values: the first one is the objective function, and the second and third are values to be used in constraints. Ideally, I would like something like 'ReuseEvaluation' to avoid running the model again for each constraint...

From the code above, I got to:

init_point = [eps, 1000, eps];

options = optimoptions(@fmincon,...
      'Display', 'iter-detailed', 'Algorithm', 'interior-point',...
      'OptimalityTolerance', 1e-10, 'StepTolerance', 1e-10,...
      'FiniteDifferenceStepSize', 1e-6);
  
problem = createOptimProblem('fmincon', 'x0', init_point,...
    'objective', @MyFun,...
    'lb', zeros(1, N) ,'ub', 10000*ones(1, 3),...
    'options', options)

% Best practice: validate the solver once
% [x,fval,eflag,output] = fmincon(problem)

gs = GlobalSearch;
[xg, fg, flg, og] = run(gs, problem)