“…Although the SFS algorithm is relatively a new metaheuristic approach, there are several applications of SFS and its variant developments so far in the literature. The SFS algorithm has been applied to solve optimisation problems in control engineering area [30,31], parameter identification [32], training artificial neural networks (ANNs) [33,34], trajectory planning [35], optimal relay coordination problem [36], system reliability optimisation problem [37], wind integrated multi-objective optimal power dispatch problem [38][39][40], economic production quantity [41], environmental-economic dispatch problem [42], surface grinding process [43], protein structure prediction [44] and many more. The results show promising capabilities of SFS algorithm to outperform other established metaheuristic approaches.…”