An Efficient Multi Population Artificial Bee Colony
Vahid Zeighami, Reza Akbari, Koorush Ziarati · International Journal of Machine Learning and Computing · 2012
Artificial Bee Colony is an optimization algorithm that can be applied on a wide range of engineering problems.In this work, the standard ABC is extended by incorporating cooperative behaviors and an efficient algorithm called multi population ABC (or MPABC) is developed.MPABC aims at improving the performance of the standard ABC algorithm using benefits of cooperation as a social behavior.MPABC works by employing multiple populations that concurrently optimize the solution vector.Cooperation is obtained by sharing information between populations.The proposed algorithm was tested on a set of well known test functions.The results showed that the proposed algorithm is efficient, robust, produce good results, and outperforms other algorithms investigated in this paper.