Fruit Fly Optimization Algorithm Based on Chaotic Inerrupt

This paper puts forward a new algorithm based on chaotic inerrupt. Firstly the current optimal individual is gained by standard fruit fly optimization algorithm, then chaotic interrupt is added to the current optimal individual to increase the probability of getting the ultimate global optimum. Meanwhile, the value of chaotic variables in the iterative process is adjusted by dynamic variation coefficientηto enhance the ability to escape from the local optimum and seek the global optimum. Simulation results of six classical test functions show that the novel improved algorithm has obvious advantages on convergence precision, convergence speed and robustness.