Dragonfly Algorithm for Benchmark Mathematical Functions Optimization

Abstract

In this paper, we study the dragonfly algorithm, an optimization method derived from the observation of nature and mathematical modeled after the swarming behavior of dragonflies. Xin-She Yang devised this approach, which has been applied to various optimization challenges. [1]. The algorithm effectively explores the search space by imitating dragonfly behaviors like hunting for prey, fleeing from predators, and swarming. The method consists in apply Type-1 Fuzzy Logic to some of the parameters of the algorithm in this case: W and Betha to analyze the results applied to the mathematical functions F1 through F10 included in this paper, once that we have applied the adaptation of parameters, we will review the results compared with the rest of the papers that implement the same mathematical functions, so we can have a general idea if this method can be reliable.