Research Article
[Retracted] Brain Tumor Detection and Classification by MRI Using Biologically Inspired Orthogonal Wavelet Transform and Deep Learning Techniques
Algorithm 1
Algorithm for genetic algorithm.
| | Stage 1: Establish a randomly generated population. | | Stage 2: Each chromosome, its fitness function is calculated. | | Stage 3: Continue the stages below until the ‘n’ offspring are produced. | | (1) | Choose the current population parent chromosome | | (2) | Probably PC crossover the set to form two offspring at a randomly selected point | | (3) | Mute the above process with probability Pm | | Stage 4: Current population is replaced by a new population. | | Stage 5: repeat step 2. |
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