how can i combine LQR with genetic algorithm

i face adifficulty in designing LQR by genetic algorithm of an inverted pendulum that have Xmax <= 1m and V=(-10 , 10)

function y=myga(x)

Q=[x(1) x(2) x(3) x(4);x(5) x(6) x(7) x(8);

x(9) x(10) x(11) x(12); x(13) x(14) x(15) x(16)];

R=x(17);

A=[0 1 0 0;0 -0.1818 2.6727 0;0 0 0 1;0 -0.4545 30.1818 0];

B=[0; 1.8182; 0; 4.5455];

k=lqr(A,B,Q,R);

sim('invpend','setparam','k');

sum=0;

for i=1:length(simout.time)

sum=sum+simout.signals.values(i,1)-1;

end

y=sum;

options=gaoptimset('PopInitRange',[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100]';

x=ga(@myga,17,[],[],[],[],[],[],[],optimset);