Artificial Intelligent System Optimization by using Artificial Bee Colony Algorithm

In this suggested method, the artificial bee colony ABC is proposed to optimize the whole system. The mathematical model of many traditional systems is very difficult and has multiple layers that will lead to slow response of this system and causes distorted results. Therefore, the ABC is best solution to solve the drawbacks of this system. ABC has three types of bees, where there are employed bees, onlookers and scouts. The employed bees are used to bring the food source and come to hive and dancing around this area. In addition, the employed bees that have not food source will be detected by a scout and try to bring new food. The onlookers choose the food based on dancing. Therefore, the optimization of the ABC is depends on choose of best food source (best signal of system) and will be registered. The proposed system is executed via Simulink Matlab. The results show that the system with ABC is more accuracy as well as the system is optimized.