Abstract
Real-coded adaptive range genetic algorithm (ARGA) has been applied to a practical three-dimensional shape optimization for aerodynamic design of an aircraft wing. The real-coded ARGA possesses both advantages of the binary-coded ARGA 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 ARGA consistently finds better solutions than the conventional real-coded genetic algorithms do.
Original language | English |
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Pages (from-to) | 179-187 |
Number of pages | 9 |
Journal | Applied Soft Computing |
Volume | 1 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2001 |
Keywords
- Computational fluid dynamics
- Dynamic coding
- Floating-point representation
- Genetic algorithm
- Parallelization
- Real-world application
- Wing design
ASJC Scopus subject areas
- Software