In recent years, numerous analyses have been performed on Otto cycles and Otto engines, but these have often yielded different output powers and engine thermal efficiencies. In the present study, output power and engine thermal efficiency are optimized and entropy generation is minimized using a NSGA algorithm and thermodynamic analysis. The Pareto optimal frontier is obtained and a final optimal solution is selected using various decision-making approaches, including fuzzy Bellman-Zadeh, LINMAP and TOPSIS methods. The results enhance understanding of the performances of Otto cycles and of their optimization.
