| Begin |
| (a) Find seed cluster center (preprocessing) |
| (b) Create an initial Bees population randomly with Scout Bees |
| (c) Calculate the objective function for each individual |
| (d) Sort and update best site ever found |
| (e) Select the elite sites, non-elite sites, and non-selected site (three site groups) |
| (f) Determine number of recruited bees for each kind of site |
| (g) While (iteration < 100) |
| (I) For each selected kind of sites |
| % calculate the neighborhoods |
| (1) For each recruited bees |
| % Mutation |
| (2) Choose target site and base site from this group |
| (3) Random choice of two sites from this group |
| (4) Calculate weighted difference site |
| (5) Add to base selected site |
| % Crossover |
| (6) Perform crossover operation with Crossover Probability |
| (7) Evaluate the trial site that is generated |
| % update site |
| (8) If trial site is less than target site |
| (9) Select trial site instead of target site |
| (10) else |
| (11) Select target site |
| (12) End if |
| (II) End (for of recruited bees) |
| (h) End (for of selected Sites) |
| (i) Sort and update best site ever found |
| End |
