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Installation noise caused by the complex interaction between the aircraft engine exhaust and the wing-flap system is becoming an increasingly important issue. In this paper, we present an aeroacoustic optimization framework in which algorithmic differentiation (AD) is applied to the open-source multi-physics solver SU2 to obtain design sensitivities. An AD-based consistent discrete adjoint solver is developed which directly inherits the convergence properties of the primal flow solver due to the differentiation of the entire nonlinear fixed-point iterator. In addition, a coupled CFD-CAA far-field noise prediction framework using a permeable surface Ffowcs Williams-Hawkings approach in frequency domain is also developed. The resultant AD-based discrete adjoint solver is applied to a generic jet-wing/flap configuration to find the optimal positions of the main wing and the flap with respect to the jet nozzle as well as the …