Parameter tuning for artificial Bee Colony algorihtm

Artificial Bee Colony algorithm (ABC) is one of the popular swarm intelligence that widely used in working out on intricate problems. It is the algorithm that is mainly used in this paper. It can be observed from ABC that settings of parameters can affect the performance of the algorithm. Setting a parameter in an overly or slightly manner can lead to counter effect. There is no one universal resolution in the setting of algorithm parameter. Notwithstanding that, it is feasible to tweak the parameters with the aim of looking for the best fitting solution for a particular problem. The problem that is being focused on in this paper is 60 queen problem. The objective of this research is to study the impact of the parameters in solving N-queen problem by employing Artificial Bee Colony algorithm (ABC). This research alters the parameters in ABC and records the experimental output. Two parameters are researched, which are the swarm size and limit. To Fine-tuned parameters in solving any problem are proposed in this paper. The findings of this research are considerable.