An Automated Approach for Epilepsy Detection Based on Tunable Q-Wavelet and Firefly Feature Selection Algorithm

Algorithm 1

The pseudocode of the proposed feature reduction algorithm based on firefly optimization and SA.

Input: The features matrix

Output: The optimal solution

Initialize the firefly swam using a logistic chaotic map.

Evaluate each firefly using the fitness function f(x)

Select the best firefly and the worst one

while termination condition are not reached do

Declare an alternative leader firefly as , with a competitive fitness and located in different region.

Obtain an offspring solution using

for all (firefly and ) do

for all (firefly and ) do

if then

Enhance firefly using Equation (25) to obtain better offspring candidate firefly denoted

Replace firefly with the offspring

Move the firefly towards the neighboring and global optimal solutions using Equation (26)

end if

end for

end for

Update the worst solution

if then

end if

Rank all fireflies and update the best and worst solutions.

end while

return