搜索资源列表
NSGA-II-in-MATLAB
- 带精英策略的非支配排序遗传算法matlab 源码-Non- Dominating Sorting Algorithm
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
GA-vrp
- 运输成本、货损成本、时间成本等的配送成本最小化和以模糊时间窗进行量化的客户满意度最大化的多目标优化模型，采用改进遗传算法求解带模糊时间窗冷链配送问题。-A multi-objective optimization model to minimize the cost of transport and distribution costs, damage costs, costs of time and to quantify fuzzy time window to maximize custo
nf187
- 仿真图是速度、距离、幅度三维图像，用MATLAB实现动态聚类或迭代自组织数据分析，用MATLAB编写的遗传算法路径规划。- FIG simulation speed, distance, amplitude three-dimensional image, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Genetic algorithms using MATLAB path planning
otsuyc
- 基于一维最大类间方差遗传算法的图像分割matlab源码- U57FA u4E8 u4E00 u7EF0 u6700 u5927 u7C7B u95F9 u65B9 u5DEE u9057 u4F20 u7B97 u6CD5 u7684 u56FE u50CF u5206 u5272matlab u6E90 u7801
fwkfh
- wolf 方法计算李雅普诺夫指数,遗传算法无功优化，matlab编写的元胞自动机。- wolf calculated Lyapunov exponent, Genetic algorithm based reactive power optimization, matlab prepared cellular automata.
example2
- 采用二进制编码设置代沟得遗传算法求解目标函数最值问题- U91C7 u758 u4F9 u0F3 u7R1 u7B1 u7B0 U9898
nonliner
- 应用遗传算法求解带有约束条件的非线性函数优化问题- U5E94 u7528 u9057 u4F20 u7B97 u7L9 u6129 u7L2 u9E3
3
- 目前的多目标优化算法有很多，Kalyanmoy Deb 的 NSGA-II（Nondominated Sorting Genetic Algorithm II，带精英策略的快速非支配排序遗传算法）无疑是其中应用最为广泛也是最为成功的一种。MATLAB 自带的 gamultiobj 函数所采用的算法，就是基于 NSGA-II 改进的一种多目标优化算法（a variant of NSGA-II）。gamultiobj 函数的出现，为在 MATLAB 平台下解决多目标优化问题提供了良好的途径。gamu
geirt
- 毕设内容，高光谱图像基本处理，遗传算法无功优化，小波包分析提取振动信号中的特征频率。- Complete set content, basic hyperspectral image processing, Genetic algorithm based reactive power optimization, Wavelet packet analysis to extract vibration signal characteristic frequency.
example
- 非线性遗传算法代码，在matlab环境下实现，已经实现了该代码。-Non-linear genetic algorithm code, in the matlab environment to achieve, has achieved the code.
example2
- 对线性系统的辨识，使用遗传算法实现，并得出图形-The identification of linear systems, the use of genetic algorithms to achieve, and draw graphics
PID-control
- 各种PID控制源代码，包括神经网络、粒子群、遗传算法等职能算法的PID控制。(Various PID control source code, including neural networks, particle swarm, genetic algorithms and other functions of the algorithm PID control.)
GAforVRP
- VRP指一定数量的客户，各自有不同数量的货物需求，配送中心向客户提供货物，由一个车队负责分送货物，组织适当的行车路线，目标是使得客户的需求得到满足，并能在一定的约束下，达到诸如路程最短、成本最小、耗费时间最少等目的(VRP refers to a certain number of customers, each with different amount of demand for goods distribution center to provide goods to customers
Dtop
- 预测神经网络，vc的程序,实现基本遗传算法的实现(Prediction of neural network, VC program and implementation of basic genetic algorithm)
综合测试类
- 电机综合测试平台 ，测试伺服电机驱动器 Motor Integrated Testing Platform(Motor Integrated Testing Platform)
MEIGA
- EGO算法的实现，采用遗传算法及kriging代理模型，进行经典案例的实现优化求解(EGO optimization GA optimization kriging surrogate models good examples)
MyGA-master
- 将节点按内存情况排序 将任务按内存需求情况排序 规则：将内存需求最小的节点先行分配在内存剩余最多的节点上(Sort nodes by memory and tasks by memory requirements Rule: the node with the least memory requirement is allocated to the node with the most remaining memory)
遗传类算法的优化
- 主要包括初始种群，终止种群，遗传特征选择以及优化等
code(1)
- 风电机组： 电价0.6 Pw_max=[2,1,3,4,5,5,4,2,3,5,5,1,2,4,5,5,5,4,3,5,3,3,2,4]; 光伏： 电价0.9 Pf_max=[0,0,0,0,0,0,1,2,3,4,5,5,5,5,4,3,1,0,0,0,0,0,0,0]; 热电机组： 电价 0.4 成本 标准煤价格 500元 电加热： 功率平衡约束： QL=[18,16,12,16,18,20,14,22,12,18,4,20,6