“…In recent years, in the literature, numerous works on this topic have been presented based on swarm algorithms. These algorithms include the biological evolutionary processes, such as: genetic algorithm (GA) [10,58], Hybrid Metaheuristics Algorithms [11,12], Particle Swarm Optimization Algorithm (PSO) [33] and Harmony Search (HS) [27], Bacterial Foraging Optimization Algorithm (BFOA) [43], Artificial Bee Colony Algorithm (ABC), Central Force Optimization Algorithm (CFO) [25], Group Search Optimizer (GSO) [29], Krill Herd Algorithm (KH) [26], Optics Inspired Optimization (OIO) [31], Biogeography Based Optimization (BBO) [61], Ant Colony Optimization (ACO) [21] and Backtracking Search Optimization (BSO) [16].…”