Abstract
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.
Cite
CITATION STYLE
Oyama, A., Obayashi, S., & Nakamura, T. (2000). Real-coded adaptive range genetic algorithm applied to transonic wing optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1917, pp. 712–721). Springer Verlag. https://doi.org/10.1007/3-540-45356-3_70
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