A State-of-the-Art Review of Artificial Bee Colony in the Optimization of Single and Multiple Criteria

Nowadays computers are used to solve a variety and multitude of complex problems facing in every sphere of peoples’ life. However, many of the problems are intractable in nature exact algorithm might need centuries to manage with formidable challenges. In such cases heuristic or in a broader sense meta-heuristic algorithms that find an approximate solution but have acceptable time and space complexity play indispensable role. In this article, the authors present a state-of-the-art review on meta-heuristic algorithm popularly known as artificial bee colony (ABC) inspired by honey bees. Moreover, the ABC algorithm for solving single and multiobjective optimization problems have been studied. A few potential application areas of ABC are highlighted as an end note of this article. A State-of-the-Art Review of Artificial Bee Colony in the Optimization of Single and Multiple Criteria