The cornerstone of the pyGlobOpt is the Artificial Bee Colony (ABC) -an optimization algorithm based on the intelligent foraging behavior of honeybee swarm. In the ABC algorithm the individual processes, the bees, interact with the primary database, the hive. Just as bees search for the best nectar sources, three types of "bees" (operators) are employed in this algorithm with the goal of finding the best "nectar" (structures, 𝑸). Former implementation of the algorithms can be found in our previous works. The three types of operators denoted as scout (SC), onlooker (OL), and employed (EM) bees represent a specific structure producing processes. SC is a random mutation of the input clusters.