搜索资源列表
GA-min
- 遗传算法进行优化求多元函数 （Griewank Function）最小解问题-genetic algorithm optimization for multi-function (Griewank Function) Minimum solutions to the problems
ga
- A Function Optimizer using Simple Genetic Algorithm developed from the Pascal SGA code
25811211GA
- 演化算法GA的c++实现，以解决某一函数最优解为例-Evolutionary algorithm GA-c++ implementation to solve the optimal solution as an example of a function
GA
- 用遗传算法求解一个多元函数的极值，用VC代码编写，能够看到执行过程的数据。-Here, this is VC program of find the extreme value of a given function by using the Genetic Algorithm。
matlab-ga
- 基本遗传算法的MATLAB语言源程序。（遗传算法的应用范围极其广泛，它可应用于函数优化、组合优化、生产调度问题、自动控制、机器人学、图像处理、人工生命、遗传编程以及机器学习等领域。）-Basic genetic algorithm matlb language sourc-e code. (Genetic algorithm extremely broad range of applications, it can be applied to function optimization, com
GA
- GA遗传算法Fortran编程，可以用来做简单的函数计算。-GA GA Fortran programming can be used to do simple function calculation.
my-souce-code-20130915
- 书本《matlab神经网络应用设计》源码，对于利用遗传算法（GA）优化神经网络（NN）的程序部分，由于使用了GA工具箱中已经定义好的一些函数，因此，这部分程序必须拷贝到GA工具箱目录下才能运行，在本书中有:"第12章","第13章",以及"第20.5节"。另外，还包括该书本配套PPT教案。-Book " matlab neural network application design" source for the use of genetic algorithm (GA) o
Real-Coded-GA
- GA algorithm for optimization with all Roulette Wheel Selection and.... with this algorithm you can optimize any function you want to minimize or maximize . just you need to make your function then add it name in this scr ipt.
GA-MFC
- 这是一个用MFC制作的遗传算法求函数最值的程序，能对算法参数进行更改-This is a MFC produced genetic algorithms function best value program, algorithm parameters can be changed
gene_test
- y=f(x,y,z...)基于遗传算法的单一目标函数寻求最优或者最小极值点-Single objective function optimization based on GA
gaSVMcgForClass
- 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,这是ga的功能函数源码-Svm parameter optimization, the use of ga (genetic optimization algorithm) to the optimal parameter c g, and ultimately improve the training set classification accuracy, better imp
遗传算法多目标优化
- 这是遗传算法多目标优化程序。虽然是基础的GA算法程序，但是注释清晰，可以修改目标函数运行，也可以在此基础上进行算法优化(This is a multi-objective optimization program of genetic algorithm. Although it is the basic GA algorithm program, but the annotation is clear, it can modify the operation of the objective