Here is a simple example where you can vary MaxGene and check the accuracy of the result.
fun = @objfcn; % objective function, specified as a function handle
PopuSiz = 50; % Population Size
MaxGene = 100; % Max Generations
nvars = 5; % number of variables
A = -eye(nvars); % []; %
b = zeros(nvars, 1); % linear inequality constraints, A*x <= b
Aeq = [];
beq = [];
lb = [];
ub = [];
nonlcon = [];
options = optimoptions('ga', 'PopulationSize', PopuSiz, 'MaxGenerations', MaxGene);
[x, fval, exitflag, output] = ga(fun, nvars, A, b, Aeq, beq, lb, ub, nonlcon, options)
function y = objfcn(x)
y = (x(1) - 1).^2 + (x(2) - 2).^2 + (x(3) - 3).^2 + (x(4) - 4).^2 + (x(5) - 5).^2;
end
