In order to meet the airworthiness standards and safety requirements of civil aviation aircraft within the full flight envelope, the engine needs to be designed with a large safety margin to meet the most stringent noise requirements. Therefore, the engine performance potential cannot be taken full use of. A self-adaptive mutation strategy is proposed to improve the traditional gray wolf algorithm. Along with the adjustment of optimization mode during the optimization process, the global optimization performance is improved. Integrated optimization control of performance and jet noise is studied based on the improved grey wolf optimization algorithm according to different flight requirements. The control variable is optimized to improve the engine performance while guaranteeing the safety and noise limits. Simulation results show that the thrust is increased by 13.45% under the maximum thrust mode, the fuel assumption is reduced by 3.19% under the least fuel consumption mode, and the temperature of the turbine is reduced by 2.07% under the lowest turbine inlet temperature mode.