How I can specify more parameters to GA in order to speed up my code execution. with the help of (optimoptions function of ga).. opts = optimoptions(@ga,

%% Genetic Algorithm
FT=@(x)-Genetic_A(x);
A = []; % No other constraints
b = [];
Aeq = [];
beq = [];
lb = zeros(1,n);
ub = ones(1,n);
[x,fval] = ga(FT,n,A,b,Aeq,beq,lb,ub);
C_ga = -fval;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function C_ga = Genetic_A(x)
global   G Pn Pt F H  %G,F,H Matrices  and  Pn,Pt scalar
theta = (2*pi)*(x); %Reflecting Angle IRS, where x is a vector of size 1xn
Phi = diag(exp(1i*theta)); %phase shift Matrix for IRS, % Set Amp = 1
HT = H+F*Phi*G; %Channel Matrix
W = pinv(HT); %Precoding Matrix
W_bar = W./vecnorm(W,2,1); %Normalized
D_Matrix = HT*W_bar; %Diagonal Matrix
D_Square = (abs(diag(D_Matrix))').^2; % Channel gains
%% Water_filling 
P = waterfill(Pt,Pn./D_Square);  

R = P.*D_Square/Pn;
C_ga = sum(log2(1+R));  %Capacity

[Rena Berman]

(Answers Dev) Restored edit

Answer 1

[Abdolkarim Mohammadi]

Indeed vectorization helps a lot for non-simulation objective functions. You should use the UseVectorized option.