[RBFOpt] Problem with 20d rosenbrock function

Sattler, Dr. Andreas Andreas.Sattler at siltronic.com
Tue Nov 20 05:23:27 EST 2018


Dear all,

I was very happy with the performance of RBFopt when testing it on the 2D rosenbrock function, the number of function evaluations was very competitive! (150-300 evaluations)

Then I went on to test it on a 20D rosenbrock function (because for production use I need to optimize in similar dimensions):

n = self.dimension
value=0;
for i in range(0,19):
   value += 100 * (x[i]*x[i] -x[i+1])*(x[i]*x[i] -x[i+1]) + (x[i]-1)*(x[i]-1);

I ran it using these options:

rbfopt_cl_interface.py --max_iterations=150000  --max_evaluations=150000 --max_cycles=100000 --global_search_method=sampling --num_cpus=20 --algorithm=MSRSM --eps_opt=1e-3 --num_global_searches=5 --target_objval=0 --log=example2.log  rbfopt_black_box_example2.py

Unfortunately, the optimization got kinda stuck after a few thousand iterations.
Also, there are very few parallel function evaluations left (about 2), slowing down the progress further.

Has anyone successfully run RBFopt on this or a similar test problem?
Maybe I am doing something wrong? Any ideas?

Best regards,
Andreas


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