A Hybrid Swarm Intelligence Algorithm for Intrusion Detection Using Significant Features

Algorithm 1

Artificial Bee Colony.

Input: initial solutions.

Output: optimal solution.

BEGIN

  Generate the initial population ,

 Evaluate the fitness () of the population

 set cycle = 1

repeat

FOR (employed phase)

   Produce a new solution using (4)

   Calculate

  Apply greedy selection process

  Calculate the probability using (6)

FOR (onlooker phase)

     Select a solution depending on

     Produce a new solution

    Calculate

  Apply greedy selection process

If (scout phase) There is an abandoned solution for the scout depending on limit

    Then Replace it with a new solution which will by randomly produced by (3)

 Memorize the best solution so far

 cycle = cycle + 1

Until cycle = MCN

end