Initially an optimal piezoelectric mistuning obtained by genetic algorithm optimization is introduced into a given blade-mistuned disk to achieve a further blade vibration mitigation.
By defining an objective function called the Relative Annual Benefit (RAB), Genetic Algorithm optimization method was used for finding the optimal values of design parameters.
(iii) Generation is the iterations in the genetic algorithm optimization.
Genetic algorithm optimization was employed to maximize the mineralization efficiency.
The proposed methodology is based on a genetic algorithm optimization technique.
For example, a simple algorithm optimization may be applied to mathematic transform and quantization.
We employ the Genetic Algorithm optimization technique to invert for the constraining parameters of the trajectory.
Open image in new window Fig. 11 Flow chart of genetic algorithm optimization and objective function.
Performance improvement with respect to existing algorithms is obtained by genetic algorithm optimization.
The selection procedure introduces the influence of the fitness function to the genetic algorithm optimization process.
To solve this NIPP we suggest the following optimization algorithm: Optimization Algorithm.
