在这个项目的实施过程中，四种灰狼，如阿尔法、贝塔、德尔塔和欧米茄被用来模拟领导阶层结构，在这个层级中，狩猎的三个主要步骤，搜索猎物，包围猎物，攻击诱饵。与粒子群算法（PSO）的仿真结果进行了比较，表明该算法取得了较好的性能。
In implementing this project, four types of gray wolves like Alpha, Beta, Delta and Omega is the use to simulate the leadership hierarchy in which the three main steps of the hunt, searching for prey, surrounded prey, and attack the bait, are implemented. The simulation results with particle swarm algorithm (PSO) is compared, show that the algorithm has achieved better performance Grey Wolf GWO.
资源文件列表
GWO/func_plot.m , 3525
GWO/Get_Functions_details.m , 7617
GWO/GWO.m , 4323
GWO/GWO.png , 384510
GWO/GWO_finalVersion.pdf , 1753133
GWO/initialization.m , 1845
GWO/main.m , 3036
license.txt , 1318