| Initialize a population of N chickens and define the related parameters; |
| Evaluate the fitness values for each individual, set current each individual’s |
| position and fitness value, and set the current global best individual’s position |
| and fitness value; |
| for t = 1 to M |
| if t % G == 1 |
| Rank the chickens’ fitness values and establish a hierarchal order in the swarm; |
| Divide the swarm into different groups, and determine the relationship |
| between the chicks and mother hens in a group; |
| end if |
| Rank the chickens’ fitness values; |
| for i = 1 to N |
| if i == rooster Update its location using equation (4); end if |
| if i == hen Update its location using equation (6); end if |
| if i == chick Update its location using equation (9); end if |
| Improved cross-border processing function; |
| Evaluate the fitness values for i; |
| If the new fitness value is better than the current individual’s fitness value, |
| update the individual’s position and fitness value; |
| If the new fitness value is better than the current global best individual’s |
| fitness value, then update the current global best individual’s position |
| and fitness value; |
| If a stopping criterion is met, then output the current global best |
| individual’s position and fitness value; |
| end for |
| end for |
