Recently, CO 2 capture has been given attention as an effective way to mitigate the impacts of global warming. However, CO 2 capture through adsorption technology is restricted by the cost of energy consumption, and the optimization of this technology deserves to be noted. Rigorous mathematical models along with optimization algorithms result in significant savings in both time and cost of the experiment. In this paper, a purposeful optimization for the rapid temperature swing adsorption (RTSA) cycle using amino silica hollow fiber adsorbents was presented to evaluate the competitiveness of this fledgling technology with other adsorption methods. Achieving the highest purity and recovery as two conflicting objectives and obtaining the highest process productivity at the lowest energy consumption were two demands for the applicants, which were optimized through a hybrid model of the multiobjective differential evolution (MODE) algorithm and Technique for the Order of Preference by Similarity to Ideal Solution (TOPSIS) decision-making method. The key operating parameters containing water velocity (0.1−2 m/ s), feed and purge gas velocity (0.1−6 m/s), and cooling (15−40 °C) and heating (80−120 °C) temperatures, as well as adsorption (50−500 s), heating (100−250 s), and sweeping (20−150 s) step times, were chosen as decision variables to find the optimal operating point from the Pareto set. A summary of performance comparison between the amino silica hollow fiber-based RTSA cycle and other CO 2 capture technologies available in the literature showed that this cycle with purity and recovery above 80% operates below current international standards. In addition, the energy consumption in this system was higher than other technologies due to the high heat of adsorption of the amino silica adsorbent, which can be overcome to this challenge by choosing a suitable adsorbent or configuration.