文件名称：灰狼优化算法（GWO）
文件大小：20.11MB
文件格式：ZIP
更新时间：2021-04-18 04:41:12
gwo 灰狼
The Grey Wolf Optimizer(GWO) algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy. In addition, three main steps of hunting, searching for prey, encircling prey, and attacking prey, are implemented to perform optimization.
【文件预览】：
DA.pdf
ALO.pdf
GWO.pdf
MVO.pdf
SCA.pdf
MOGWO.pdf
MOALO.pdf
GWO
----main.m(3KB)
----PSO.m(3KB)
----initialization.m(2KB)
----Get_Functions_details.m(7KB)
----GWO.png(375KB)
----GWO.m(4KB)
----func_plot.m(3KB)
WOA.pdf
MFO.pdf