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A multilevel design strategy for supersonic missile inlet design is developed. The multilevel design strategy combines an ef cient simple physical model analysis tool and a sophisticated computational uid dynamics (CFD) Navier -Stokes analysis tool. The ef cient simple analysis tool is incorporated into the optimization loop, and the sophisticated CFD analysis tool is used to verify, select, and lter the nal design. The genetic algorithms and multistart gradient line search optimizers are used to search the nonsmooth design space. A geometry model for the supersonic missile inlet is developed. A supersonic missile inlet that starts at Mach 2.6 and cruises at Mach 4 was designed. Signi cant improvement of the inlet total pressure recovery has been obtained. Detailed ow eld analysis is also presented.

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The Search Space Toolkit (SST) is a suite of tools for investigating the properties of the continuous search spaces which arise in designing complex engineering artifacts whose evaluation requires significant computation by a numerical simulator. SST has been developed as part of NDA, a computational environment for (semi-)automated design of jet engine exhaust nozzles for Supersonic aircraft, which was developed in a collaboration between computer scientists at Rutgers University and design engineers at General Electric and Lockheed. The search spaces which SST explores differ significantly from the discrete search spaces that typically arise in artificial intelligence research, and properly searching such spaces is a fundamental AI research area. By promoting the design space to be a first class entity, rather than a "black box" buried in the interface between an o p timizer and a simulator, SST allows a more principled approach to automated design.