How to optimize the hyperparameter for support vector regression with LIBSVM library on MATLAB?

To make a regression model using LIBSVM library on MATLAB? Therefore paraameter of optimization is required. I optimized parameter but it's not working because epsilon does not change with other parameter?

my loop for optimization is such as

bestcv = inf;

for log2c = -1:10

for log2g = -1:5

for log2p = -10:-7

cmd = [ '-v 5 -s 3 ', '-c ', num2str(2^log2c), ' -g ', num2str(2^log2g), '-p', num2str(2^log2p)];

cv = svmtrain(Y, X, cmd);

if (cv<= bestcv)

bestcv = cv; bestc = 2^log2c; bestg = 2^log2g; bestp = 2^log2p;

end

fprintf('%g %g %g %g(best c=%g, g=%g, p=%p rate=%g)\n', log2c, log2g, log2p, cv, bestc, bestg, bestp, bestcv);

end

end

end

How to change in the loop and get correct values? please explain it

Thanks in advance