The Bee Algorithm is a nature-inspired optimization technique that mimics the foraging behavior of honeybees. It is used to find optimal solutions in complex problems by simulating how bees search for food sources. The algorithm involves a population of artificial bees that explore the solution space, evaluate potential solutions, and share information about the quality of these solutions. In the Bee Algorithm, bees are divided into employed bees, onlooker bees, and scout bees. Employed bees exploit known food sources, while onlooker bees choose sources based on shared information. Scout bees search for new sources, ensuring a balance between exploration and exploitation, which helps in efficiently finding optimal solutions in various fields, including engineering, finance, and machine learning.