Enhancing Artificial Bee Colony Algorithm with Self-Adaptive Searching Strategy and Artificial Immune Network Operators for Global Optimization

Algorithm 1

Pseudocode of main body of ABC algorithm.

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

(2)  Evaluate the fitness (fit(𝑥_𝑖)) of the population

(3)  Set cycle to 1

(4)  Repeat

(5)     For each employed bee {

   Produce new solution 𝑣_𝑖 by using (2)

   Calculate its fitness value fit(𝑣_𝑖)

   Apply greedy selection process}

(6)     Calculate the probability values 𝑃_𝑖 for the solution (𝑥_𝑖) by (3)

(7)     For each onlooker bee {

   Select a solution 𝑥_𝑖 depending on 𝑃_𝑖

   Produce new solution 𝑣_𝑗

   Calculate its fitness value fit(𝑣_𝑗)

   Apply greedy selection process}

(8)    If there is an abandoned solution for the scout,

  then replace it with a new solution which will be randomly produced by (4)

(9)   Memorize the best solution so far

(10)  Cycle = cycle +1

(11) Until cycle = MEN