Soft Robotics is an emerging field with many promising applications including the next generation of disaster first responders. One outstanding challenge in the field is finding ways to make soft robots move. A novel solution has been vibration, rather than linear or rotary actuation, as a means of locomotion. Soft Robots are complex enough systems where its unknown which specific motor frequencies produces spe- cific behaviors. One could have trails of a soft robot until its full behavior is found. This can be inefficient and time consuming to do with every new design. Our research is to develop a more efficient method of evaluating behavioral diversity for soft robots with unknown behavior and incorporating it in an existing genetic algorithm used to evolve soft robots. We breed robots based on how differently they behave to various motor frequencies. The aim is figure out the frequencies to navigate a space with the minimum amount of trails.