搜索资源列表
Matlab的GA程序.rar
- MATLAB的GA程序
GA遗传算法——理论、应用与软件实现中的源代码
- GA遗传算法——理论、应用与软件实现中的源代码-GA GA -- Theory, Application and Implementation of the software source code
GA(C+)
- 遗传算法的机器人路径规划的源代码。用C++来实现的-GA robot path planning source. C to achieve the
basic GA
- GA basic limitation 3dim
GA-BP优化
- 主要用于遗传算法进行神经网络学习，可直接运行(the program is used to solve BP in GA, and it can setup)
GA-BP
- 遗传算法优化BP神经网络,解决局部最优解的问题(hybrid intelligent algorithm(combination of BP and GA))
GA-PSO
- GA和PSO联合优化算法，能实现更快的运算速度和优化效果(GA and PSO joint optimization algorithm, to achieve faster computing speed and optimization)
ga
- 这个例子显示了如何创建和管理功能的遗传算法遗传算法的全局优化工具箱的选项optimoptions。(This example shows how to create and manage options for the genetic algorithm function ga using optimoptions in the Global Optimization Toolbox.)
GA遗传算法
- 这是一个GA遗传算法的实现，很好可以使用(This is an implementation of a GA genetic algorithm)
GA+PSO.__
- MATLAB 遗传和粒子群混合编程,,,,,,,(MATLAB GA+PSO.........)
GA
- 智能微电网粒子群优化算法,微源：光伏、风机、发电机、储能等((Smart Microgrid GA, micro sources: photovoltaic, wind turbines, generators, energy storage, etc.))
GA-Bagging-SVM-code
- 基于matlab软件的Ga-bagging-svm程序，包含算例data，编写规范，非常好用(Ga-bagging-svm program based on MATLAB software, including example data, compiling specifications, very useful)
VRPTW-ga-master
- python源码，利用遗传算法解决VRPTW问题，包含所有过程步骤(solve the VRPTW by GA(Python cord))
aco-ga-pso-tsp
- Matlab实现ACO-GA-PSO三种混合算法解决TSP经典问题(Three Mixed Algorithms ACO-GA-PSO Realized by MATLAB to Solve the Classic TSP Problem)
Adaption GA
- adaption GA coded by matlab
ga-pls
- GA-PLS, GA GA-PLS,遗传-偏最小二乘回归算法(GA-PLS, GA GA-PLS,GA-PLS, GA GA-PLS,)
GA-PSO
- 本算法为用遗传算法改进粒子群GA-PSO算法，附带含有程序使用说明。(This algorithm uses genetic algorithm to improve particle swarm optimization GA-PSO algorithm, with instructions for the use of the program.)
GA-DF2
- 利用GA遗传算法解决欺骗函数最优问题，具体问题描述如下，如有问题请与我联系(The deceptive functions are a family of functions in which there exists low-order building blocks that do not combine to form the higher-order building blocks. Here, a deceptive prob
GA提取特征
- GA提取特征，数据为高光谱数据，感兴趣区域数据，最后一列为标签(GA extracts features, hyperspectral data, region of interest data, and the last column is label)
GA
- GA算法的matlab代码实现，包括选择函数和简单的测试问题(GA algorithm matlab code)