Currently, when performing a single and multi-objective optimisation in MATLAB for Genetic Algorithm, I'm setting the upper and lower bounds based on the maximum and minimum process parameter values used in Design of Experiments (DoE) in order to cover the range of values that were used to conduct my experiment, and by extension to obtain my performance measures and regression equations.

Apart from using the upper and lower bounds of these process parameters, is there any other techniques that can be used to set this range based on current studies/research when conducting these types of optimisation techniques?

Thank you in advance.