A Fast Hybrid Classification Algorithm with Feature Reduction for Medical Images

Algorithm 1

Start

Set the initial set of all Grasshoppers G={g₁, …..,g_m};

Compute the fitness fit (g_i )for each ∈ in G.

B is set to the best solution

Initialize fit_min and fit_max and iteration I_max

While(I<I_max)do// I denotes a data item in the dataset of size I_max

Update fit₁ and fit₂ according to:

For j=1 to mdo

 Set the distance between g_j ∈ G in the range [1, 4]

 Update the position of the current g ∈ G

 Bring the current g back if it steps out of the boundaries

End-for

Update B if there is a better solution

I=I+1

End-while

Return the best solution B

END