搜索资源列表
GA
- 一个可以用来求解函数最大值的遗传算法，并且用图像清晰的表现出来-Maximum value that can be used to solve the function of genetic algorithm, and clearly demonstrated by image
ga-vc
- This a simple genetic algorithm implementation where the evaluation function takes positive 这是一个简单的遗传算法实现了评价函数在正面的价值观,只需要一个个体的适应度是相同的目标函数值 -This is a simple genetic algorithm implementation where the evaluation function takes positive values R
GA
- 遗传算法解决函数优化问题，模拟一个函数优化的问题-Genetic algorithm to solve function optimization problems, simulating a function optimization problem
ga
- 函数优化的遗传算法程序,最简单的的函数优化。-Simple function optimization of genetic algorithm code
program-ga
- Genetic Algorithm for linear function
GA
- 遗传算法，分为个7个子函数：分别为编码、解码、选择、交叉、变异、目标函数和总调用。有详细的注释。-Genetic algorithm, into a seven sub-functions: respectively, encoding, decoding, selection, crossover and mutation, the objective function and the total calls. There are detailed notes.
A-quadratic-function-for-maximum-
- c++实现二次函数求最大值 能够准确定位遗传算法的使用 经典实例-A quadratic function for maximum by GA
Ga-in-function-optimization
- 遗传算法在函数优化中的应用研究，通过实例介绍遗传算法的具体应用方法等-Genetic algorithms in function optimization, applied research, through the specific example to illustrate the application of genetic algorithm methods
GA-optimization-function
- 遗传算法的优化函数，基于matlab遗传算法代码修改优化-Genetic algorithm optimization function, genetic algorithm matlab code changes based on optimization
ga
- 用java写的一个遗传算法，功能比较简单，可以供初学者学习-Using java to write a genetic algorithm, the function is relatively simple, you can learn for beginners
GA
- 遗传算法求函数最值问题 matlab代码 使用轮盘赌选择 交叉 变异-Genetic algorithm for function most value problem matlab code crossover and mutation using the roulette wheel selection
ga
- 遗传算法求解函数最优值的MATLAB代码-Genetic Algorithm for the optimal value function of MATLAB code
ga
- 本算法采用遗传算法求解目标函数的极小值，不易陷入局部极值- This algorithm uses a genetic algorithm for the minimum of the objective function, is not easy to fall into local minima
GA
- 利用GA遗传算法，对函数进行优化，已经过调试通过-GA genetic algorithm to optimize the function has been through debugging
parameter-optimization-in-GA
- 遗传算法用于多个输入变量的函数参数优化源码，使误差的平方和达到最小- to optimize the source code about Function parameters with multiple input variables in Function parameters with minimum error sum of squares
GA
- 遗传算法应用程序使用说明： 1.安装MATLAB5.X； 2.建立目录：(c:\GeneticProgram),并将这里提供的所有源程序拷入该目录； 3.运行(c:\GeneticProgram)中的 startup； 4.在MATLAB Command Window内直接运行程序 FloatExample和BinaryExample。 FloatExample和BinaryExample分别采用浮点编码和二进制编码方法，求函数 y=20+x + 10*sin(
ga
- GA算法代码 function pop=initpop(popsize,chromlength) pop=round(rand(popsize,chromlength)) rand 随机产生每个单元为 {0,1} 行数为 popsize，列数为 chromlength 的矩阵， roud 对矩阵的每个单元进行圆整。这样产生的初始种群。 2.2 计算目标函数值 2.2.1 将二进制数转化为十进制数(1) 遗传算法子程序 Name: decodebinary.
GA
- 一个简单但完备的遗传算法用于函数优化的程序！对于初学者很有用！-A simple but complete genetic algorithm for function optimization program! For beginners very useful!
GA
- 遗传算法采用matlab语言描述，并附有一些测试函数 -Genetic algorithm using matlab language descr iption, along with some test function
GA
- 遗传算法GA求解无约束最优化问题，采用遗传算法求函数的最小值-The genetic algorithm GA for solving unconstrained optimization problems using genetic algorithm for the minimum of the function