搜索资源列表
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)
GWO
- 灰狼算法可以解决多目标优化问题，有这方面问题的朋友可以下载自己学习(grew wolf is a algorithm that you can use it)
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.)
gwo-nn
- 该版本使用R语言实现了灰狼优化算法(GWO),并利用该算法优化神经网络的权重。(This version uses the R language to implement the gray wolf optimization algorithm (GWO), and uses the algorithm to optimize the weight of the neural network.)
Grey Wolf Optimizer Toolbox
- 灰狼算法 可用来参数寻优 优化SVM等。(Grey Wolf Optimizer Toolbox)
GWO
- 灰狼算法源代码，包括初始化灰狼种群，29种基准函数的测试(grey wolf optimizer code)
灰狼优化
- 以优化SVM算法的参数c和g为例，使用狼群算法进行优化(Taking the parameters c and g of the optimized SVM algorithm as an example, we optimize it with a wolf group algorithm)
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 P
MOGWO
- 源码关于多目标灰狼优化的，还有实例(Source for multi-target wolf optimization, and examples.)
73462666GWO
- 狼优化算法，能够实现多参数的寻优过程，非常使用的好程序。(Wolf optimization algorithm can achieve multi parameter optimization process.)
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
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)
DEGWO
- 一种差分进化与灰狼算法结合的混合算法，可以运行。(A hybrid algorithm combining differential evolution and gray Wolf algorithm.)
灰狼重油建模程序
- 改进的灰狼算法用于重油热解模型的建模程序(greywolf algorithm for observation of heavy oil thermal cracking)
WOA灰狼算法
- 灰狼优化算法，直接就能用，里面包含有23种测试函数，做实际应用时，需要调一下。(Gray wolf optimization algorithm, which can be used directly, contains 23 kinds of test functions, and needs to be adjusted in practical application.)
灰狼优化算法源代码
- 灰狼算法,一种新型群体智能优化算法，将改进的灰狼算法优化神经网络模型，提高收敛速度，避免陷入局部最优解(The grey wolf algorithm (GWO), which is inspired by the predatory behavior of the gray wolf group, is a new group intelligent optimization algorithm that imitates the l
混沌tent映射tent分叉程序
- 构建基于改进灰狼优化算法的神经网络数据预测模型(IGWO-BPNN)，目的在于用改进的灰狼优化算法优化神经网络模型，利用神经网络的反向传播优势，改善神经网络算法易于陷入局部最小值的缺陷，提高神经网络模型的预测精度。(The grey wolf algorithm (GWO), which is inspired by the predatory behavior of the gray wolf group, is a new grou
灰狼优化svm(g,a)
- 灰狼优化，由于一些问题的复杂，因此用灰狼算法解决一些优化问题(8/5000 Gray Wolf optimization)
GWO
- 灰狼优化算法，混沌反向学习，matlab(Grey wolf optimization algorithm,matlab)
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.)