We introduce the Vibration concept for real coded Genetic Algorithm and its implementation to inverse airfoil design, which decreases the number of CFD calculations. This concept assures efficient diversity in the population and consequently gives faster solution. We used the Vibration concept as vibrational mutation and vibrational crossover. For the mutational manner, a sinusoidal wave with random amplitude is introduced into population periodically from the beginning of the initial step of the genetic process. This operation spreads out the population over the design space and increases exploration performance of the genetic process. This makes passing over local optimums for genetic algorithm easy. In order to apply this new concept at the crossover stages, Double Directional Alpha (DDA) approximation in BLX‐α as a new crossover technique which was already presented in our earlier study is used. In the developed technique, the value of α oscillates systematically during the genetic process. Implementation of the Vibration concept to the inverse airfoil design makes the convergence faster.
[1]
Alden H. Wright,et al.
Genetic Algorithms for Real Parameter Optimization
,
1990,
FOGA.
[2]
Ivanoe De Falco,et al.
Breeder genetic algorithms for airfoil design optimisation
,
1996,
Proceedings of IEEE International Conference on Evolutionary Computation.
[3]
James E. Baker,et al.
Reducing Bias and Inefficienry in the Selection Algorithm
,
1987,
ICGA.
[4]
Daniel C. Tse,et al.
Application of Micro Genetic Algorithms and Neural Networks for Airfoil Design Optimization
,
2000
.
[5]
D. Quagliarella,et al.
Airfoil and wing design through hybrid optimization strategies
,
1998
.
[6]
Heinz Mühlenbein,et al.
Predictive Models for the Breeder Genetic Algorithm I. Continuous Parameter Optimization
,
1993,
Evolutionary Computation.