Real-Coded Adaptive Range Genetic Algorithm Applied to Transonic Wing Optimization

Real-coded Adaptive Range Genetic Algorithms (ARGAs) have been applied to a practical three-dimensional shape optimization for aerodynamic design of an aircraft wing. The real-coded ARGAs possess both advantages of the binary-coded ARGAs and the floating-point representation to overcome the problems of having a large search space that requires continuous sampling. The results confirm that the real-coded ARGAs consistently find better solutions than the conventional real-coded Genetic Algorithms do.

• Type: Conference
• Year: 2000
• Where: PPSN
• Authors: Akira Oyama, Shigeru Obayashi, Takashi Nakamura
• Keywords: Binary-coded Argas, Distributed And Parallel Computing, PPSN 2000, Real-coded Argas, Real-coded Argas Possess