Research Article

# A Modified Artificial Bee Colony Algorithm Based on Search Space Division and Disruptive Selection Strategy

## Algorithm 4

SDABC.
 Begin Population initialization Step  1. Set population size CS, the number of food sources , the non-improvement number of food source , the number of maximum iterations , and the number of parameters . Step  2. Generate initial solutions using population initialization based on SSD as in (5) and (6), and calculate their fitness values by (7) and (8). Step  3. cycle = 1 Step  4.  While   cycle ≤   do Employed bee phase For   = 1 :    do Update the position of the employed bee based on (3). Check whether it is out of boundaries or not. Calculate fitness value by (7) and (8). A greedy selection strategy is applied to select the better food source. A food source doesn’t improve = + 1, otherwise = 0 where represents the number of the th trial. End for Onlooker bee phase Step  5.  Calculate based on (9), and initialize = 0, = 0. While   <   then do If random <   then do Update the position of the onlooker bee by (3). Check whether it is out of boundaries or not. Calculate fitness value by (7) and (8). A greedy selection strategy is applied to select the better food source. A food source doesn’t improve = + 1, otherwise = 0. End if End while ( = ) Scout bee phase Step  6.    if   >   then do Generate a new food source for the scout bee by (10). End if Step  7.   Memorize optimal solution achieved till now. cycle = cycle + 1; Step  8.  End while (cycle = ) End.