Wolf colony search algorithm based on leader strategy

This paper presented a wolf colony search algorithm based on the leader's strategy,which was based on the characteristics of the wolves prey behavior.The algorithm ideas from the following process.Wolves' individuals competed with each other.So,the strongest wolf was selected as the leader of the wolves,the wolves hunted prey under the leadership of the leader,so that they could be more effective to capture prey.Ultimately wolves could find the global optimum solution by constantly search and capture prey under the leadership of the leader wolf.In order to prove the algorithm's validity,it used test standard functions to make comparison with other algorithms.The results show that the algorithm has better performance in aspects of convergence speed and accuracy,and it is difficult to trap-in local minimum.