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MATLAB-ge-zhong-you-hua
- 无约束一维、多维极值，约束优化问题，粒子群优化算法，遗传优化算法-Unconstrained one-dimensional, multi-dimensional extremal constrained optimization problem, particle swarm optimization, genetic optimization algorithm
optimization-program
- 无约束一维极值/无约束多维极值/约束优化/非线性最小二乘优化/线性规划/整数规划/二次规划/遗传优化算法等对应的matlab程序-Unconstrained one-dimensional extremal/unconstrained multidimensional the pole/constrained optimization/nonlinear least squares optimization/linear programming/integer programming/Quadr
FDTD3D_Main
- 二维光子晶体禁带的遗传优化算法MATLAB源码-Two-dimensional photonic crystal band gap genetic optimization algorithm MATLAB source
09021425
- 聚类算法，以及基于遗传模拟退火算法的聚类算法，优化聚类算法-Clustering algorithm, and the clustering algorithm based on genetic simulated annealing algorithm to optimize the clustering algorithm
The-genetic-optimization-algorithm
- 精通MATLAB最优化计算的机械优化设计的遗传优化算法,-The genetic optimization algorithm
AdapGA
- 这个源代码是关于遗传优化算法的源代码，里面注释很清楚-This source code is on the genetic optimization algorithm source code, which is very clear comments
Genetic-optimization
- 以matlab为平台的遗传优化算法，包括SBOGA、GMGA等。-Genetic optimization
BreedPSO
- 用基于交叉遗传的粒子群优化算法求解无约束优化问题-Based on cross genetic particle swarm optimization algorithm for solving unconstrained optimization problems, are helpful to you!
GA
- 完整的遗传优化算法，基本的过程，详细的注释，非常适合初学者。-The complete genetic optimization algorithm, the basic process, detailed notes, very suitable for beginners.
yichuan
- 基于神经网络与遗传算法的多目标函数优化求解程序-Multi objective function is based on neural networks and genetic algorithm optimization solver
gamain
- 使用实数编码的遗传算法，进行多个函数的极值优化，可以运行-Using real-coded genetic algorithm, a plurality of extremal optimization function, 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
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
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.
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.
chapter15_GA
- svm 的参数优化，利用ga(遗传优化算法)选择最优参数c g，最终提高训练集的分类准确率，更好的提高分类器性能-Svm parameter optimization, the use of ga (genetic optimization algorithm) to the optimal parameter c g, and ultimately improve the accuracy of the training set classification, better improve
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)
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