In the present work, a numerical solution and Pareto-based multi-objective genetic algorithm are used to determine the optimum values of specific heat ratio, compression ratio, and the maximum to minimum temperature ratio of irreversible Otto cycle. The optimized values of the objective functions (namely output work and thermal efficiency) are then determined using these vales. The numerical solution shows that the maximum output work and thermal efficiency are obtained simultaneously when the values of specific heat ratio, compression ratio, and the maximum to minimum temperature ratio of cycle are 1.3, 8.78, and 5.0, respectively, meanwhile these parameters are obtained by multi-objective genetic algorithms with a Pareto optimization method as 1.3, 8.95, and 5.0. The results obtained from the current work are presented in the form of optimal equations for output work thermal efficiency in term of compression efficiency, expansion efficiency and compression ratio of the cycle. The results of current research

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