In Reply to Parent Post by Miner
Don't forget that classical designs include fractional factorials and center points.
Sorry to ask too many questions. I did some research and as you said I found EVOP much more reasonable and efficient. Thank you so much.
However I have another question that I can't find any answers to. My GA code takes a really long time to converge (2000 generations in 3-4 days) and I don't have enough time and resources to manage too many runs. Can I use EVOP or RSM in limited number of generations? I mean instead of running the algorithm till convergence every time I change a parameter value I'd like to compare the best answer found by the algorithm with different levels of crossover and mutation rate in just 100-200 generations? Will the best found parameter levels be reliable?