Particle Swarm and Bacterial Foraging Inspired Hybrid Artificial Bee Colony Algorithm for Numerical Function Optimization

Pseudocode 2

(1) Set the source position , produce new solution , maximum convergence iterations , current iteration .

(2) for (as a counter) from 1 to colony size

(3) calculate selective probability

(4)   = rand() (as a random dimension of source position)

(5)   = rand(1, colonysize) &   (as another random dimension of source position)

(6)  set

(7)  if selective probability p > rand()

(8)   for dim (as a counter) from 1 to max dimension

(9)    new solution

(10)   end for

(11)    if new fitness value is better than fitness value

(12)    then

(13)   end if

(14)  end if

(15) end for