Multilevel Simulation and Numerical Optimization of Complex Engineering Designs
نویسندگان
چکیده
Multilevel representations have been studied extensively by arti cial intelligence researchers. We present a general method that utilizes the multilevel paradigm to attack the problem of performing multidiscipline engineering design optimization in the presence of many local optima. The method uses a multidisciplinary simulator at multiple levels of abstraction, paired with a multilevel search space. We tested the method in the domain of conceptual design of supersonic transport aircraft, focusing on the airframe and the exhaust nozzle, and using sequential quadratic programming as the optimizer at each level. We found that using multilevel simulation and optimization can decrease the cost of design space search by an order of magnitude.
منابع مشابه
The Use of Artificial Intelligence to Improve the Numerical Optimization of Complex Engineering Designs By
OF THE DISSERTATION The Use of Arti cial Intelligence to Improve the Numerical Optimization of Complex Engineering Designs by Mark A. Schwabacher Dissertation Directors: Thomas Ellman and Andrew Gelsey Gradient-based numerical optimization of complex engineering designs promises to produce better designs rapidly. However, such methods generally assume that the objective function and constraint ...
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