Coupling ML with the GA provides significant advantages in accelerating searches. Performing a search on the surrogate model provides a cheap energy descriptor without requiring expensive electronic structure calculations to assess stability of these nanoparticles. The exact method should be optimized based on the advantages of parallelizing the execution of energy calculations and reducing the total CPU hour cost of the search. A hierarchy of methods have been utilized to reduce the total number of energy calculations required to fully search the convex hull of local minima from 16,000 to around 300.