How can I initialise ''bayesopt'' when I use multiple workers?

I need to run bayesopt in parallel which works fine when it starts from scratch. However, when I load the previous results to initialise the optimisation process, it only loads the initial parameters and the objective function, then it terminates. could you please help me to fix it. A sample code is attached

Answer 1

[Don Mathis]

Hi Omar,

This is a known bug that was fixed in version R2018a. To fix this in R2017b, you'll need to replace 2 source files in your MATLAB installation with the attached files. The files are

[matlabroot]\toolbox\stats\bayesoptim\BayesianOptimization.m
[matlabroot]\toolbox\stats\bayesoptim\+bayesoptim\BayesoptOptions.m

where [matlabroot] is what you get when you type the command 'matlabroot' into MATLAB.

If you don't have permissions to replace those files in Windows, you can use the MATLAB editor to replace their contents. To get Administrator privileges in MATLAB for Windows, start MATLAB by right-clicking on it and choosing "Run as Administrator".

After you replace both of those files, restart MATLAB.

[Omar Mahfoze]

Thanks so much. Problem Solved