搜索资源列表
Geneodes
- 遗传粒子群混合算法的测试节点优选方法研究-Genetic Particle Swarm Optimization Method of test nodes
test_ga33
- 基于遗传算法电力系统无功优化(对于ieee33节点的算例程序)-Reactive Power Optimization of Power System Based on Genetic Algorithms(For example ieee33 node procedure)
IEEE33
- IEEE30节点遗传算法，简单实用，适合初学者学习，可用于配电网重构-Genetic algorithms, simple and practical, suitable for beginners to learn, can be used for distribution network reconfiguration
IEEE33DG
- IEEE33节点含DG遗传算法，简单实用，适合初学者学习，可用于配电网重构-Genetic algorithms, simple and practical, suitable for beginners to learn, can be used for distribution network reconfiguration
GA_Net
- 利用遗传算法解决基于以太网通信的分布式系统控制单元的分配问题，经过分配可以使得各通信节点间的数据交换量尽可能小，从而提高通信实时性及稳定性，该思路同样可以用于其他相近的分配问题。-Using genetic algorithms to solve the allocation problem Ethernet-based distributed system control unit in communication, through distribution can make the amou
chengxu
- 基于遗传算法的IEEE30节点无功优化程序，针对电网的电压损耗作为目标函数进行了优化，优化的目标是使得网损达到最小值。-IEEE30 node reactive power optimization based on genetic algorithm, in view of the grid voltage loss as objective function is optimized, the goal of optimization is to achieve minimum networ
fenhun_v87
- 遗传算法无功优化，FMCW调频连续波雷达的测距测角，采用加权网络中节点强度和权重都是幂率分布的模型。- Genetic algorithm based reactive power optimization, FMCW frequency modulated continuous wave radar range and angular measurements, Using weighted model nodes in the network strength and weight are
21wugongypuhua
- IEEE21节点的无功优化，使用遗传算法进行求解，非工具箱调用纯编程-IEEE 21 node Reactive Power Optimization using genetic algorithms to solve non-call pure programming toolbox
SPDP(GRASP_RP)
- 可选择节点的取货送货问题，采用Grasp and Path-relinking的算法，通过类似遗传算法的方法解决问题。-Alternatively nodes pickup and delivery, the use of Grasp and Path-relinking algorithm to solve the problem by a method similar to the genetic algorithm.
kenfei
- 计算多重分形非趋势波动分析，遗传算法无功优化，采用加权网络中节点强度和权重都是幂率分布的模型。- Calculate the multifractal trend fluctuation analysis, Genetic algorithm based reactive power optimization, Using weighted model nodes in the network strength and weight are power law distribution.
GA-Algebrizem
- 遗传算法的matlab实现，选取了13个城市节点，针对旅行商问题进行的求解。-Genetic algorithm matlab implementation, carried out for the Traveling Salesman Problem
GA_BP_algrithom
- 本函数基于递阶结构遗传算法优化BP神经网络隐层节点结构及权值参数。-BP neural network hidden layer structure and weight parameters of this function optimization genetic algorithm based on hierarchical structure.
niutui
- 采用加权网络中节点强度和权重都是幂率分布的模型，用MATLAB编写的遗传算法路径规划，计算一维光子晶体的透射特性和反射特性。- Using weighted model nodes in the network strength and weight are power law distribution, Genetic algorithms using MATLAB path planning, Calculated transmission characteristics and refle
GAjiogensdbg
- 遗传算法无功优化，21节点实例计算，可以运行-Genetic algorithm based reactive power optimization, 21 instances of computing nodes, you can run
qiantuihuidaiheyichuansuanf
- matlab上实现的前推回代算法，结合遗传算法，有效的电网系统无功功率的优化问题，采用的模型是22节点的电力系统模型。-Matlab implementation of the forward and backward generation algorithm, combined with genetic algorithm, an effective power system reactive power optimization problem, the model is a 22 node
hg502
- 用于信号特征提取、信号消噪，用MATLAB编写的遗传算法路径规划，采用加权网络中节点强度和权重都是幂率分布的模型。- For feature extraction, signal de-noising, Genetic algorithms using MATLAB path planning, Using weighted model nodes in the network strength and weight are power law distribution.
GA4TSPProblem-master
- 在matlab上使用遗传算法解决TSP旅行者问题: TSP问题指的是从一个节点开始遍历其他所有节点并回到初始节点，构成一个哈密顿回路，节点与节点之间距离不同，目标是找到一条回路使得总路程最短，也就是走最短的路遍历所有节点回到起点 遗传算法模仿达尔文进化论中优胜劣汰的思想，从随机初始总群开始，不断进化最终选出接近最优解的一代，从而求解出近似最优解-use GA to solve the problem for TSP，which can find the approximate optim
无功优化
- 配电网 69节点 电力系统 遗传算法 无功优化(reactuve power optimization)
NSGA2 eva
- nsga-2 遗传算法，应用于ieee-33节点系统中，方便快捷，好用。(Nsga-2 genetic algorithm is applied in ieee-33 node system, which is convenient, fast and easy to use.)