Inspired by animal behavior, Eberhart and Kennedy [49, 22] proposed in 1995 an optimization method called Particle Swarm Optimization (PSO). In this approach, a swarm of particles simultaneously explore a problem’s search space with the goal of finding the global optimum configuration.