An efficient computational-fluid-dynamics-driven approach to multipoint constrained aerodynamic wing design for business jet aircraft is proposed. This method significantly extends the capabilities of the optimization tool OPTIMAS, previously developed by the authors, for aerodynamic design of three-dimensional isolated wings. In the framework of the method, the total drag of an optimized aircraft configuration is minimized at fixed lift values subject to numerous geometrical and aerodynamical constraints. The optimum search is driven by genetic algorithms and is based on full Navier-Stokes computations supported by massive multilevel parallelization. The applications include a series of single- and multipoint aerodynamic design optimizations for a generic business jet. For the considered class of shape optimizations, significant drag reduction in on- and off-design conditions has been achieved.
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