Research Article
Brain Tumor Detection and Classification Using IFF-FLICM Segmentation and Optimized ELM Model
Table 2
Pseudocode: MHS-SCA optimization algorithm implementation.
| Pseudocode: MHS-SCA optimization algorithm |
| (1) Initialize harmony search parameters PAR, , , | (2) Initialize the SCA parameters | (3) Calculate the harmony vector based on | (4) Fitness function evaluation based on | (5) % Loop for optimization | (6) For i = 1 : n | (7) Update SCA parameter to obtain fitness using equation (1) | (8) Update the HS parameter | (9) Update the modified position equation | (10) , with PAR | (11) with (1-PAR) | (12) Choose the maximum optimized values between equations (7) and (8) | (13) end for the loop i | (14) Stopping criteria: Converge up to optimal solution, else go to step 6 |
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