The Analysis Based on the Two Main Applications of Artificial Bee Colony Algorithm

Artificial bee colony (ABC) algorithm is a relatively new swarm intelligence technique inspired by the intelligent foraging behavior of honey bees. It has shown better performance in many fields including constrained problems and clustering problems, than that of Evolutionary algorithms (EA), Particle Swarm Optimization (PSO) algorithm and Ant Colony Optimization (ACO) algorithm. This paper presents a research on the mechanism of ABC algorithm, analyses the features and disadvantages of two main applications, and provides a method to solve the question of setting parameters automatic.