Real-Coded Adaptive Range Genetic Algorithm and Its Application to Aerodynamic Design

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概要

• 論文の詳細を見る

• Real-coded Adaptive Range Genetic Algorithms (ARGAs) have been developed. The real-coded ARGAs possess both advantages of the binary-coded ARGAs and the use of the floating point representation to overcome the problems of having a large search space that requires continuous sampling. First, the efficiency and the robustness of the proposed approach are demonstrated by test functions. Then the proposed approach is applied to an aerodynamic airfoil shape optimization problem. The results confirm that the real-coded ARGAs consistently find better solutions than the conventional real-coded Genetic Algorithms do. The designed airfoil shape is considered to be the global optimal and thus ensures the feasibility of the real-coded ARGAs in aerodynamic designs.

• 一般社団法人日本機械学会の論文
• 2000-04-15

著者

• Obayashi Shigeru

  Tohoku University Institute Of Fluid Science

• Oyama A

  Nasa Glenn Res. Center Oh Usa

• Oyama Akira

  Tohoku University, Department of Aeronautics and Space Engineering

• Nakahashi Kazuhiro

  Tohoku University, Department of Aeronautics and Space Engineering

• Nakahashi Kazuhiro

  Tohoku University Department Of Aeronautics And Space Engineering

関連論文

• Drag Reduction of a Bluff-Body using Design of Experiments
• Real-Coded Adaptive Range Genetic Algorithm and Its Application to Aerodynamic Design

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