Social insects like honey bees have evolved complex behaviors including communication, nest building, and division of labor, which allow them to thrive in social colonies. One extraordinary ability is their method to locate optimal nectar sources using a "dance" to relay information about the geographical position and nectar quantity. Discovered by Karl von Frisch in the mid-20th century, these insights inspired the development of optimization algorithms.

In 2005, Dervis Karaboga published research on the Artificial Bee Colony (ABC) algorithm. This algorithm simulates the foraging behavior of bees. The model includes scout bees that randomly search new areas and worker bees that exploit known nectar-rich areas.

The algorithm starts with scout bees exploring the space randomly. Upon returning, they share their findings, and worker bee...
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