Brain Tumor Detection and Classification Using IFF-FLICM Segmentation and Optimized ELM Model

Table 2

Pseudocode: MHS-SCA optimization algorithm implementation.

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Pseudocode: MHS-SCA optimization algorithm

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(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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