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2016.09.08GWO
- 以优化SVM算法的参数c和g为例，对GWO算法MATLAB源码进行了逐行中文注解。 是很好的学习材料。-SVM algorithm to optimize the parameters c and g, for example, for GWO algorithm MATLAB source was progressive Chinese annotations. It is a good learning materials.
GWO
- 灰狼优化算法的核心算法描述，并且配有中文说明(Gray Wolf optimization algorithm)
SVRGWO
- 一种混合算法，基于灰狼算法优化支持向量回归(A hybrid algorithm ,based on Grey Wolf algorithm to optimize support vector regression)
2016.11.07HGWO(DE-GWO)
- 灰狼算法用于多目标寻优问题，以阴影遮挡下的光伏电池最大功率点寻优为例编程。(Grey Wolf algorithm is used for multi-objective optimization problem, and the maximum power point optimization of photovoltaic cells under shading is taken as an example.)
MOGWO
- 在多目标灰色狼优化器（mogwo），固定大小的外部文件集成到该gwo保存和检索的帕累托最优解。该档案被用来定义社会等级，并在多目标搜索空间中模拟灰狼的捕猎行为。(In the Multi-Objective Grey Wolf Optimizer (MOGWO), a fixed-sized external archive is integrated to the GWO for saving and retrieving the Pareto optimal solutions. This
灰太狼优化算法
- GWO算法模拟了灰狼在自然界中的领导层次和狩猎机制。四种类型的灰狼，如alpha，beta，delta和omega，用于模拟领导层次结构。此外，实施狩猎，搜寻猎物，环绕猎物和攻击猎物的三个主要步骤以执行优化。 压缩包包括：发表的论文、优化算法代码、优化工具箱。(The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wo
2016.09.08GWO
- 本代码描述的是有关灰狼算法的研究，这个代码有详细的内容说明与简介，网络上的代码普遍有错误，本人将所有的代码全部实现并改正了错误。供大家学习参考(This code describes the research on the gray wolf algorithm. This code has detailed descr iption and introduction. The code on the network is generally wrong. I have implemented
GWO
- 灰狼优化算法和粒子群算法性能比较，附加灰狼算法介绍的PDF(Performance Comparison between Grey Wolf Optimization Algorithm and Particle Swarm Optimization Algorithm)
狼群优化算法
- 一种受灰狼（Canis lupus）启发的新的元启发式方法，称为灰狼优化器（GWO）。 GWO算法模仿自然界中灰狼的领导等级和狩猎机制。
灰狼GWOVMD
- 算法是基于灰狼优化算法GWO优化VMD，可以大大提高VMD的分类准确率，提高优化时间。(This algorithm is based on GWO optimization VMD, which can greatly improve VMD classification accuracy and optimization time.)
GWO_SVR
- 灰狼算法优化的支持向量回归，可以用于预测。(The grey Wolf algorithm is optimized for support vector regression and can be used for prediction.)