SUMMARYThis thesis presents an effort to contribute to the minimization of fuel use of aircraft. The intention is to achieve this efficiently by using the Individual Discipline Feasible architecture for solving a gradient-based, aerostructural Multidisciplinary Design Optimization problem for a static aeroelastic wing. This wing is then optimized for minimal fuel consumption during the cruise phase.The work in this paper is an effort continuing in the trend of using high-fidelity analyses for optimization of an aeroelastic wing. However this effort makes use of the Individual Discipline Feasible architecture, which decouples the aerodynamic and structural disciplines from each other. Using this approach the consistency of the system as a whole is maintained by the use of equality constraints on surrogate design variables. No coupled sensitivity information is required because of this decoupled system. This makes the system not only simpler, but also provides more freedom in software choice. Furthermore, the time to perform optimization is reduced with respect to the traditional Multidisciplinary Feasible architecture as the work of making the system consistent is removed from the computationally expensive individual disciplines and put it in the hands of the cheap optimization algorithm.The aerodynamic and the structural disciplines hence independently calculate both the intermediate states of the system and the partial derivatives of these states with respect to the design vector. The performance module is dependant on the aerodynamic discipline and is therefore included in it. This module calculates the fuel weight.SU2 is used within the aerodynamic discipline to deform the surface grid and the volume grid of the wing and its domain, calculate the flow properties and gain sensitivities of lift and drag with respect to surface perturbations of the wing. The software uses the 3D Free-Form Deformation parameterization technique to deform the surface grid. The code is originally meant to only deform the airfoil shapes of a wing, nevertheless it has been modified in order to also deform the wing according to the static aeroelastic deformation. The sensitivity analysis is performed by a continuous adjoint solver. It is shown however that the continuous adjoint method in SU2 does not capture the sensitivities of the trailing edge well due to assumptions of smoothness. This is why extra corrective factors are added to the false sensitivities. The results of the optimization verify the working of these corrective factors, except for the corrected sensitivities with respect to the planform design variables. The Euler model is used for the flow analysis, due to its speed advantages. However, because viscosity is neglected in the Euler model, the viscous drag component and its sensitivity derivatives are estimated by a separate module.For the structural discipline the FEMWET software is used, providing the static aeroelastic deformation and the aeroelastic axis of the wing. FEMWET uses equivalent panel thicknesses represe...