“…On the one hand, there are traditional methods based on the computation of normal filter parameters, and on the other hand, there are optimization methods based on the defined optimization function and conditions. The most utilized optimization methods are: genetic algorithms [23][24][25], response surface methodology [26,27], swarm optimization [28], Particle Swarm Optimization (PSO) [29], bee colony optimization [30], Mixed Integer Distributed ant Colony Optimization (MIDACO) [31], probabilistic approach [32], Multi-island Particle Swarm optimization (MIPSO) [33], Ant Colony Optimization (ACO) [34], simulated annealing [35], optimal Multi-objective planning [36], Lagrange interpolation method [37], etc. These techniques can be accompanied by constraints (e.g., maximum voltage capacitor and reactive power etc.)…”