In the first step, we used the genetic algorithm to identify the low energy structures for clusters of 5, 10, 15 and 20 atoms of Al, Be, Li, Mg, Na, Si, Ta, and Ti clusters. These elements were chosen because they cover different parts of the periodic table and are computationally inexpensive relative to others because of the small numbers of valence electrons. The low energy configurations are provided in the supporting information.