“…The disadvantages of these methods are the slow convergence to optimal results, or the fall into local extremes. Metaheuristic methods have been applied for solving this problem, such as Genetic Algorithm (GA) [10,11], Particle Swarm Optimization (PSO) [11][12][13], symbiotic organisms search [14], Artificial Bee Colony algorithm (ABC) [15], invasive weed optimization [16], Cuckoo Search (CSA) [17], Fireworks Algorithm (FWA) [18], Stochastic Fractal Search (SFS) [19], Harmony Search Algorithm (HSA) [20], and Salp Swarm Algorithm (SSA) [21]. These methods have the advantage of handling conveniently problem's constrains.…”