Feature Selection Method Based on Artificial Bee Colony Algorithm and Support Vector Machines for Medical Datasets Classification

Pseudocode 2

Pseudo-code of the ABC algorithm [24].

(1) Load training samples

(2) Generate the initial population 𝑧_𝑖, 𝑖=1,…,SN

(3) Evaluate the fitness (𝑓_𝑖) of the population

(4) set cycle to 1

(5) repeat

(6)   FOR each employed bee {

   Produce new solution 𝑣_𝑖 by using (6)

   Calculate the value 𝑓_𝑖

   Apply greedy selection process}

(7) Calculate the probability values 𝑝_𝑖  for the solutions (𝑧_𝑖) by (5)

(8) FOR each onlooker bee {

Select a solution 𝑧_𝑖 depending on 𝑝_𝑖

Produce new solution 𝑣_𝑖

Calculate the value 𝑓_𝑖

Apply greedy selection process}

(9) If there is an abandoned solution for he scout

    then replace it with a new solution which will

    be randomly produced by (7)

(10) Memorize the best solution so far

(11) cycle = cycle + 1

(12) until cycle = MCN