“…The dynamic or kinetic Monte Carlo method is useful in the optimization, numerical integration and generation of samples from a probability (Rui-mel, 2015). The utility of the Monte Carlo method has resulted in it being used in many disciplines to determine possible outcomes associated with random effects, over time (Battaile and Srolovitz, 2002;Fang and Giles, 2019;Rausch et al, 2019;Togashi, 2019;Tracheva and Ukhinov, 2019). The step size of the explicit tau-leaping (or τleaping) was used to improve the clarity of the illustrations and to reduce the time of calculations (Gillespie, 2001;Cao et al, 2006).…”