搜索资源列表
GA代码2
- 介绍了遗传算法的优化方法以及遗传算子的代码实现过程(introduce the ga algorithm optimization method and the realizing process of the factor of the GA algorithm)
GA代码
- 介绍了遗传算法的实现过程以及代码的优化方法，提升了性能(introduce the characteristic of the ga and)
GA二健宠物摆摊
- 这个是二键可以离线买卖宠物的lua 支持现在免费都ga gmsv。都可以用(this is a new lua.is buy pet very good.)
Matalb---GA算法代码---规范
- GA算法代码，比较规范，适合大家参考学习。(GA algorithm code, more standardized.)
ga
- matlab ga code for all
GA
- 封装好的GA函数, C++，可直接调用，目前是单目标函数(GA code / c++, can be used directly, for single object function)
Economic Dispatch with GA
- Economic Dispatch Problem with GA
GA
- 用GA算法求函数最大值，最基础的遗传算法(Using GA algorithm to find the maximum function, the most basic genetic algorithm)
CVRP-GA-master (1)
- source code of VRP based on GA
MATLAB Codes- GA
- ANN-GA matlab codes- Tested
GA+PSO
- 压缩文件中包含三个文件，分别是：GA+PSO、GA_only和PSO_only三个程序包。程序是用MATLAB编写的遗传+粒子群算法、遗传算法、粒子群算法，每个程序中包括主程序、种群选择、自适应函数子函数。(The compressed file contains three files, which are GA PSO, ga_only and pso_only three program package. The program
ga-bp
- 通过GA算法对bp神经网络的阈值阀值进行优化(The threshold value of BP neural network is optimized by GA algorithm)
GA Ackley
- the Ackley problem was solved by GA in mat lab
ga+fcm
- 实现了GA和FCM相结合，提取规则的目的(GA and FCM are combined to extract rules.)
智能优化方法及MATLAB-GA工具箱简介
- ga算法详细介绍，很好的介绍了ga的使用方法(ga inadffadfasdfasdfadf)
GA源程序
- 利用GA算法搜索最优图像融合参数，在进行图像融合(The GA algorithm is used to search the optimal image fusion parameters, and the image fusion is carried out)
PSO, GA and many other optimization algorithms
- 包含一些常用的数学优化方法和高级的优化方法，如线性规划，整数规划，最小二乘法，GA，PSO等(A lot of mathmatical optimization algorithms such as linear programming, integer programming, least square method are included. In addition, improved GA and PSO are also inc
GA
- 基于Matlab编写遗传算法/GA，对PID参数优化控制，提高性能(The genetic algorithm /GA is written based on Matlab to optimize the PID parameters and improve the performance)
GA算法
- GA-NN算法详细批注。基于MATLAB开发。(the process of GA-NN based on MATLAB langurage.)
GA多目标约束问题
- 遗传算法主要用于多目标约束问题中，非常简单(GA is a method of searching for the optimal solution by simulating the natural evolutionary process. It is often used in CRN resource optimization. GA starts with a popu-lation that represents a pot