一种基于领导者策略的狼群搜索算法

基于狼群捕食行为的特性, 提出一种基于领导者策略的狼群搜索算法。该算法思想源于狼群个体之间存在相互竞争, 从而推选出狼群中最为精壮的狼作为狼群的领导者, 然后在领导者的带领下获取猎物, 这样使得狼群能够更加有效地捕获到猎物。狼群在领导者狼的带领下通过不断搜索, 捕获猎物, 该过程对于优化问题, 最终可找到全局最优解。为表明所提出的算法有效和正确性, 通过测试标准函数与其他同类算法比较, 结果表明该算法无论在收敛速度还是求解精度上都较优, 且不易陷入局部极小。

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.