Issues with running genetic algorithm (GA) in parallel computation

Hello,

opts = optimoptions(@ga, ...

'PopulationSize', 10, ...

'MaxGenerations', 50, ...

'EliteCount', 1, ...

'FunctionTolerance', 1e-5, ...

'PlotFcn', @gaplotbestf, ...

'UseParallel',true) ;

[xbestDisc, fbestDisc, exitflag, output, population, scores] = ga(@FCWithDisc,6, A, b, [], [], lb, ub, [], 1:6, opts);

Im trying to use genetic algorithm (GA) to optimize a question with 6 varuables, and use Parallel computing to improve the GA efficiency. However, at the beginning of calculation, errors appear as follows:

Error using fcnvectorizer (line 16)

The source code (D:\Program Files\MATLAB\R2021a\toolbox\globaloptim\globaloptim\private\fcnvectorizer.m) for the

parfor-loop that is trying to execute on the worker could not be found.

Error gaminlppenaltyfcn

Error gapenalty

Error makeState (line 69)

Score = FitnessFcn(state.Population(initScoreProvided+1:end,:));

Error galincon (line 22)

state = makeState(GenomeLength,FitnessFcn,Iterate,output.problemtype,options);

Error gapenalty

Error gaminlp

Error ga (line 394)

[x,fval,exitFlag,output,population,scores] = gaminlp(FitnessFcn,nvars, ...

.........

I would appreciate if somebody could help me.

Yi