搜索资源列表
RealCodedGA
- This package contains a pure implementation of Real Coded Genetic Algorithm (Real Coded GA) in MATLAB. You can modify or replace the Cost Function, to solve real valued optimization problems, using Genetic Algorithm (GA).
GA
- 这是求值函数采取仅正面价值的简单的基因算法实施，并且合适的个体是相同的象目标函数的价值 -This is a simple genetic algorithm implementation where the evaluation function takes positive values only and the fitness of an individual is the same as the value of the objective function
GA
- 一个用GA实现的简单函数优化问题，思路很清晰，值得参考-Implemented a simple function with GA optimization, thinking very clearly, it is also useful
ga
- 下面的程序是求多项式y=x^6-10x^5-26x^4+344x^3+193x^2-1846x-1680在区间[-8,8]的最小值，误差不超过0.001。对于这个复杂的多项式，可先用matlab绘制函数的大概曲线，确认函数的最小值大概处于[-8,8]之间，再用本程序求出精确解。 -The following procedure is a polynomial y = x ^ 6-10x ^ 5-26x ^ 4+344 x ^ 3+193 x ^ 2-1846x-1680 in the inter
GA
- 遗传进化算法实现函数优化，寻找函数最大值，matlab编程实现-Genetic evolution algorithm for function optimization, search function, max, matlab programming
ga
- 遗传算法 简单的函数搜索过程 显示中间搜索过程-Simple genetic algorithm search process shows that the middle of a function of the search process
ga
- 遗传算法解决函数最大值问题，很实用，没事可以研习一下-Maximization of genetic algorithm to solve the function is very useful, nothing can be studies about
GA.cpp
- 选择:根据遗传算法的收敛定理,赌轮法(蒙特卡罗法) ,进行个体选择。交叉:交叉互换的重要特征是它能产生不同于父体的子体。交叉概率越大,交叉操作的可能性也越大 如果交叉率太低,收敛速度可能降低。单阈值分割由于只有一个参数,所以采用一点交叉,在此设置交叉概率为0.65。变异:变异概率为0.01 。-This is a simple genetic algorithm implementation where the evaluation function takes positive values
MATLAB-GA
- 详细讲述了MATLAB主要遗传算法函数的参数，并举例说明应用；-MATLAB described in detail the main function of genetic algorithm parameters, and examples of applications
GA
- 遗传算法----用遗传算法解决求函数的最大值的问题 -GA---- demand function using genetic algorithm to solve the problem the maximum
optimization-with-GA-based-on-matlab
- 介绍了遗传算法的matlab实现以及用于函数优化问题的求解-Matlab genetic algorithm is introduced to achieve and for function optimization problems
ga
- 遗传算法实现函数优化，求此函数的最大值，遗传算法的简单应用-Genetic algorithm function optimization, find the maximum value of this function, the simple application of genetic algorithms
GA
- 遗传算法的原理及MATLAB 环境中实现遗传算法各算子的编程方法,并以一个简单的实例说明所编程序在函数全局寻优中的应用。-The principle of genetic algorithms and genetic algorithms MATLAB environment to achieve the programming method of the operator, and a simple example shows the function of the programmed ap
GA
- 本遗传算法由 12 个 M 文件组成，其中 Genetic.m 包含了主函数，其余文件均为 含子函数的文件，由主函数调用。下面对包含子函数的文件进行一一说明。 -The genetic algorithm composed of 12 M file, which contains the main function Genetic.m the remaining files are files containing subroutine from the main function call
GA
- 在C环境中利用遗传算法，求解单变量函数的最大值和最小值-In the C environment using genetic algorithms to solve single-variable function of the maximum and minimum
ga
- 标准遗传算法，优化函数为f=-(x-1)^2+4，其中，0<=x<=3，建议初学者使用- Standard genetic algorithms, optimization function f =- (x-1) ^ 2+4, where, 0 < = x < = 3, recommended for beginners to use
Matlab-GA
- 这是一篇论文，Matlab遗传算法工具箱函数及应用实例 ，有具体实例。-Matlab genetic algorithm toolbox function and application example
GA
- 遗传算法多目标优化的应用举例，求非线性函数最大值。-Multi-objective optimization genetic algorithm application example, the maximum value of nonlinear function.
ga-funtion-Matlab
- 遗传算法求解函数优化问题的实现，多目标，最优解-Genetic Algorithm for Function Optimization implementation
matlab_GA_7.0
- 基于MATLAB7.0，求函数f=x+10*sin(5*x)+7*cos(4*x)的最大值点，简单的单点交叉，基本位变异，赌轮盘选择.-Based on MATLAB7.0, find the function f = x+10* sin (5* x)+7* cos (4* x) the maximum point, a simple single-point crossover, the basic bit mutation, gambling roulette wheel.