Introducing Adaptive Artificial Bee Colony algorithm and using it in solving traveling salesman problem

Artificial Bee colony algorithm is a modern swarm intelligence algorithm. This paper proposes a modified version of artificial bee colony algorithm called “Adaptive Artificial Bee Colony” (AABC). This paper compares between standard bee colony algorithm and the proposed adaptive bee colony algorithm through traveling salesman problem. Traveling salesman problem is one of the most common problems in the searching techniques evaluation, so the paper considers it as an experimental case for the algorithms´ performance discrimination. The experiments were repeated across different benchmarks. The proposed adaptive artificial bee colony algorithm presents more efficiency than standard artificial bee colony algorithm. The final solution fitness value is enhanced by around 8% in adaptive artificial bee colony algorithm comparing to standard artificial bee colony algorithm´s solution.