“…Metaheuristic algorithms are typically efficient in calculating near-optimum solutions of problems that cannot be solved easily or at all using other techniques, which constitute the great majority of problems (YoLee and Geem, 2005). Some of the metaheuristic algorithms are inspired by natural process, such as the Genetic Algorithm (GA) (Al Rahedi and Atoum, 2009;Freisleben and Merz, 2016), the Ant Colony Optimisation (ACO) (Dorigo et al, 1996), the Honey-Bee Mating Optimisation (HBMO) (Bozorg-Haddad et al, 2017), and so on. In contrast, there are other types of algorithms such as Tabu Search (TS) which don't originate in natural processes.…”