any more direct-search optimization method in R
Hello list, I am dealing with a noisy function (gradient,hessian not available) with simple boundary constraints (x_i>0). I've tried constrOptim() using nelder mead to minimize it but it is way too slow and the returned results are not satisfying. simulated annealing is so hard to tune and it always crashes R program in my case. I wonder if there are any packages or functions can do direct search optimization? A rough search in literature shows multidirectional search and DIRECT algorithm may help. Is there any other satisfying algorithm? Thanks, WC