Artificial Bee Colony Algorithm MATLAB Source Code

The Artificial Bee Colony algorithm is an optimization method inspired by bee behavior, representing a practical application of swarm intelligence. Its key characteristic is that it doesn't require specific problem information - only the ability to compare solution quality. Through local optimization by individual artificial bees, the global optimum eventually emerges in the colony with rapid convergence. To solve multivariable function optimization problems, Karaboga developed the ABC model (artificial bee colony algorithm). The MATLAB implementation typically includes key functions for initialization, employed bees phase, onlooker bees phase, and scout bees phase, with fitness evaluation and solution update mechanisms.