A turbo generator is a turbine-driven electricity generator that is generally powered by water, gas, or steam. Turbo generators are one of the major sources of electricity worldwide. Reliability of the turbo generators is one of the major concerns that need to be dealt with utmost care to avoid the unnecessary breakdown in the power supply. In this paper, we investigated the impact of nature-inspired algorithms in obtaining the optimal operational availability of turbo generators. After stochastic modeling of turbo generators using Markov birth-death process and Chapman–Kolmogorov differential-difference equations, the steady-state availability of the turbo generator systems is optimized using four nature-inspired algorithms, viz. artificial bee colony (ABC), ant lion optimizer (ALO), whale optimization algorithm (WOA), and grey wolf optimizer (GWO). Experimental results indicated a significant impact of nature-inspired algorithms in obtaining the overall operational availability of turbo generators.