Research Article
An Evolved Wavelet Library Based on Genetic Algorithm
Table 3
Initial configuration of four different GAs.
| Parameter variables | Convolution filter | Lifting scheme | 9 | 2 | 5 | 1 |
| Wavelet DWT implementation | Matlab wavelet toolbox | Matlab wavelet toolbox | Matlab wavelet toolbox | Matlab wavelet toolbox |
| Fitness function | PSNR | PSNR | PSNR | PSNR |
| Generations | 500 | 500 | 500 | 500 |
| Permitted filter coefficient values | |
| | |
| Population initialization | CDF9/7 | CDF9/7 | CDF9/7 | CDF9/7 |
| Population size | 200 | 200 | 200 | 200 |
| Selection operator | Random/stochastic uniform | Random/stochastic uniform | Random/stochastic uniform | Random/stochastic uniform |
| Elite | 10 | 10 | 10 | 10 |
| Crossover rate | 0.5/0.8 | 0.5/0.8 | 0.5/0.8 | 0.5/0.8 |
| Recombination | Wright’s heuristic | Wright’s heuristic | Wright’s heuristic | Wright’s heuristic |
| Mutation operator | Gaussian | Gaussian | Gaussian | Gaussian |
| Mutation standard deviation | 0.3 | 0.3 | 0.3 | 0.3 |
| Mutation shrink rate | 1.0 | 1.0 | 1.0 | 1.0 |
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