GA multi-objective optmization

I'm impelementing GA using matlab optimization toolbox.

I have 6 Variables which one them only accepts integer values. I read the optimization options but I couldn't find a solution for my problem. I would appreciate your help.

FitnessFunction = @objFuns;
numberOfVariables = 6;
options = optimoptions('gamultiobj');

LB = [2 4 55 38 1 1.8];
UB = [25 10 70 49 6 4];
A = []; % No linear inequality constraints
b = []; % No linear inequality constraints
Aeq = []; % No linear equality constraints
beq = []; % No linear equality constraints

[x,Fval,exitFlag,Output] = gamultiobj(FitnessFunction,numberOfVariables,...
    A,b,Aeq,beq,...
    LB,UB,[],options);

Answer 1

[colordepth]

Unfortunately I cannot find a way to accomplish this in MATLAB R2017a. However, starting from MATLAB R2021a, to handle integer constraints in the Genetic Algorithm in MATLAB, you can use the "IntCon" option to choose which variables are integers. For more details, refer to the documentation: https://www.mathworks.com/help/gads/gamultiobj.html.