In pyGlobOpt, a single bee type (OL, EM, or SC) is applied during each cycle, with each type having an equal default probability (1:1:1) to contribute evenly to the selection process. However, we introduced a new feature that allows users to adjust the selection probability of each bee type. For instance, when setting the ratio to 2:1:1 we would expect bee generation to proceed via OL 50% of the time. Tuning this ratio has been shown to greatly enhance your algorithm performance often resulting in lower energy structures faster. 21