Aerodynamic shape optimization using a real-number-encoded genetic algorithm | Zendy

Terry L. Holst | Zendy; Thomas H. Pulliam | Zendy

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Aerodynamic shape optimization using a real-number-encoded genetic algorithm

Author(s) -

Terry L. Holst,

Thomas H. Pulliam

Publication year - 2001

Publication title -

35th aiaa applied aerodynamics conference

Language(s) - English

Resource type - Conference proceedings

DOI - 10.2514/6.2001-2473

Subject(s) - aerodynamics , genetic algorithm , computer science , optimization algorithm , algorithm design , algorithm , mathematical optimization , aerospace engineering , mathematics , engineering , machine learning

A new method for aerodynamic shape optimization using a genetic algorithm with real number encoding is presented. The algorithm is used to optimize three different problems, a simple hill climbing problem, a quasi-one-dimensional nozzle problem using an Euler equation solver and a three-dimensional transonic wing problem using a nonlinear potential solver. Results indicate that the genetic algorithm is easy to implement and extremely reliable, being relatively insensitive to design space noise.

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