Introduction - If you have any usage issues, please Google them yourself
Artificial Bee Colony (ABC) algorithm (Dervis Karaboga 2005 [1]; Karaboga and Basturk 2009[2]), simulating the intelligent social behavior of a group of bees, aims to solve the numerical optimization problem in a given condition. Many scientific theories and engineering applications in real life can be attributed to the numerical optimization problem. For applications where there is no optimal solution or approximate solution, ABC optimization algorithm can show its advantages in a short period of time and give it a term that can be terminated at any time. Initializing a set of random solution at the very beginning and searching the optimization value with iteration according to candidate solutions generated by a certain strategy, ABC algorithm solves the problems effectively and efficiently. Due to these advantages, ABC optimization algorithm has been increasingly popular since it has been proposed by Dervis Karaboga in 2005 [1].