搜索资源列表
GWO
- This is a Grey Wolf Optimization Algorithm MatLab Code.
grey-wolf-optimizer
- 狼群算法的国外研究论文,通过了33个函数优化，并有一个例子-the paper of GWO
GWO
- Grey Wolf Optimization matlab code
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
- 针对灰狼优化算法在求解连续函数优化问题时精度不高、易出现早熟收敛等缺陷,提出一种改进的灰狼优化算法-Grey Wolf Optimizer
Grey-wolf-optimizer-(gwo)-in-matlab
- 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 impleme
GWO
- 灰狼算法优化FNN神经网络进行标准数据集的分类-Particle swarm optimization algorithm GWOand universal gravitation algorithm GSA combined with FNN neural network to optimize the classification of standard data sets
2016.09.08GWO
- 用灰狼算法优化的支持回归机，对参数c，g进行寻优(GWO,SVr[dataset_scale,ps] = mapminmax(dataset',0,1); dataset_scale = dataset_scale'; train_wine = dataset_scale(1:mtrain,:); test_wine = dataset_scale( (mtrain+1):(mtrain+mtest),: );)
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)
23825735GWO123
- 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.)
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)
GWO
- this file is the source code of grey wolf optimization algorithm
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.)
2016.11.03DE_SVR（差分进化）
- 以优化SVR算法的参数c和g为例，对DE（差分进化）算法MATLAB源码进行了详细中文注解。(Differential Evolution algorithm (DE) is a heuristic random search algorithm based on group differences. This algorithm is proposed by R.S and k.p. rice for solving Chebyshev polynomials. DE algorithm is
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)
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
EvoloPy-master
- 灰狼算法来快速确定适应度值，然后确定猎物的位置，进行下一次的移动(The Grey Wolf algorithm determines the fitness value quickly, and then determines the location of the prey and makes the next move.)
图像去噪程序
- 小波阈值去噪具有很强的相关性，通过小波阈值处理，可以将噪声分为对应的小波系数，在经过阈值处理可以滤除，从而达到去噪的效果。(Wavelet threshold denoising has a strong correlation. Through wavelet threshold processing, the noise can be divided into corresponding wavelet coefficients. After threshold processing, th