Enhancing Grey Wolf Optimizer with Levy Flight for Engineering Applications

Since Grey Wolf Optimizer (GWO) first introduction, it continues to be used extensively today, owing its simplicity, easy handling, and applicability a wide range of problems. Although there are many different GWO variants in the literature, problem that produces early convergence inefficient results have still continued emerge their variants. In order overcome drawbacks theGWO, theGWO integrated together with Levy Flight (LFGWO) is proposed. demonstrate overall performance LFGWO, experiments conducted using 23 standard benchmark functions 10 composition CEC 2019 compared other eight state-of-art algorithms. The 28 out 33 average 27 deviation values obtained by LFGWO all less than those optimization algorithms, which verified demonstrated performance, stability, robustness LFGWO. extensibility test scales dimensions 50, 100, 300, 500, undertaken comparing IGWO assess dimensional influence on consistency quality. Moreover, has also been tested five real-world problems infinite impulse response (IIR) challenging model identification, experimental statistical tests significantly better capable solving