是通过模拟狼群觅食行为而发展起来的一种基于群体协作的随机搜索算法。 分析比较了多种捕食方式和羊群逃逸方式的效率和特点。-Is a random search algorithm developed by the foraging behavior of analog wolves based group collaboration. The analysis and comparison of the efficiency and characteristics of a predatory

狼群算法应用，可以用于各类多维函数优化问题-grey wolf o

狼群算法寻优，基于MATLAB采用智能控制算算法寻求最优解(This work proposes a new meta-heuristic called Grey Wolf Optimizer (GWO) inspired by grey wolves (Canis lupus). The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature.)

灰色狼犬算法适用于多维函数优化问题，注有中文注解(It is applicable to multidimensional function optimization problems, with Chinese annotations.)