Application of the Grey Wolf Optimization Algorithm to Separate Middle Components in Multicomponent Mixtures

In this paper, optimization of a system square cascades for separation middle isotopes is introduced, and the optimal cascade use in presented. case, 130Xe which isotope, presented as an example. The isotope much more complex than that other isotopes. Grey Wolf Algorithm applied optimization, parameters feed flow rate, cut cascade, location, gas centrifuges (GC), first stage are optimized such way maximum recovery target capacity obtained. results showed nine selected with 180 GCs, stages has, less number steps required factor amount product increase.