Abstract
The nature is an intrinsic basis of idea for researchers continuously working in the area of optimization. The Artificial Bee Colony (ABC) algorithm imitates the foraging behavior of real honeybees and it is effectively used to solve multi-model and complex problems. Various strategies is developed on the behavior of honeybees but ABC is the most popular among all. The ABC algorithm is used to get rid of difficult real-world optimization problems that are not solvable by conventional methods. This paper presents a state-of-the-art study of ABC and its latest modifications with in-depth evaluation and analysis of recent popular variants of ABC.
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