Optimized Firefly Algorithm Based on Levy Flight and Gaussian Inertial Weight

In order to solve the problem of slow convergence rate and premature stagnation of standard firefly algorithm (FA), an optimized firefly algorithm based on Levy flight and Gaussian function inertia weight (LFAGDIW) was proposed. This algorithm designs a decreasing inertia weight based on Gaussian function and adds it to the position updating formula to improve the convergence speed of the algorithm. Levy flight strategy is introduced to realize the random movement of individual fireflies and make the optimal search result jump out of the local optimal. Simulation test shows that the improved algorithm has a better convergence effect and avoids falling into local optimum.