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一个用于求函数极值的遗传算法程序
- 一个用于求函数极值的遗传算法程序,使用VC++编程.-seek function for a maximum of genetic algorithm, the use of VC.
遗传算法解决函数极值问题
- 本源码为使用遗传算法解决函数极值问题
genetion.rar
- 使用遗传算法实现关于函数极值问题的求解，函数已给出。,The use of genetic algorithms achieve about extremal function of problem solving, function has been give.
function
- 基于遗传算法的函数优化,利用遗传算法求解函数极值。-Function based on genetic algorithm to optimize the use of genetic algorithm function extremum.
main1
- 用matlab编写的遗传算法用来快速求解目标函数的极值！欢迎你下载学习！-Prepared using matlab genetic algorithm used to solve the objective function Express Extreme! Welcome to download you study!
11
- 利用遗传算法求解函数极值。真的可以啊，确实啊-Use genetic algorithm function extremum.
pptOfGeneticAlgorithm
- 讲述了遗传算法的基本原理、特点、应用领域、优化设计、应用等 例：1.基于遗传算法优化的RBF网络逼近 2.遗传算法求函数极值-About the basic principles of genetic algorithms, characteristics, applications, and optimize the design, application and other cases: 1. Based on genetic algorithm optimization of R
yichuansuanfa
- 用来求解函数极值的遗传算法程序，用matlab写成，不错的资料-zh fk jalfj alajf lajf lnfal jfdahwf nkas jlfja ljfa
yichuansuanfaqiuhanshujizhibuyonggongjuxiang
- 遗传算法求函数极值 不用工具箱 matlab编写-Extremal function for genetic algorithm matlab toolbox not prepared
yichuansuanfaqiuhanshujizhiyonggongjuxiang
- 遗传算法求函数极值 用工具箱 matlab编写-Extremal function for genetic algorithm using matlab toolbox to prepare
GA
- 采用M语言编写，利用遗传算法二进制编码求函数极值的程序.可以设定编码位数，进化代数，种群大小等。-With M written in binary-coded genetic algorithm function extremum seeking procedure. Can be set to encode digits, evolution algebra, population size.
GeneticAlgorithm
- 这是我自己编的用遗传算法求解sin（x）+sin（y）极值的C++ 程序。当然也可在函数fFitness中修改以达到求解其他函数极值的或应用到其他方面。-This is my own compiled using genetic algorithm sin (x)+ sin (y) extremum C++ program. Of course, a function fFitness can also modify other functions in order to achieve ext
DCQGA
- 运用双链量子遗传算法（DCQGA）求F6函数的极值。这个函数的极值在（0，0)点，极大值是1.-Quantum genetic algorithm using double-stranded (DCQGA) F6 function extremum seeking. Extremum of this function at (0,0) point, maximum value is 1.
jizhizuiyou
- 已调试好的神经网络遗传算法函数极值寻优-非线性函数极值的算法程序-Has debugging function neural network genetic algorithm optimization extreme- extreme nonlinear function of the algorithm
chapter4
- 神经网络遗传算法函数极值寻优——非线性函数极值寻优(Neural network, genetic algorithm, function extreme value optimization nonlinear function extremum seeking)
遗传算法
- 基本的遗传算法实现，求解函数极值，简单易懂，适用于初学者(Basic genetic algorithm to solve the extremum of function)
classical GA method
- 用基础的遗传算法，对一元函数的极值进行求解计算。(With the basic genetic algorithm, the extremum of the unary function is calculated and solved.)
遗传算法示例
- 基于遗传算法的多元函数寻优算法的matlab代码实现。(Multiple function optimization algorithm based on genetic algorithm)
遗传算法
- 利用遗传算法计算目标函数极值，遗传算法与传统的优化方法（枚举，启发式等）相比较，以生物进化为原型，具有很好的收敛性，在计算精度要求时，计算时间少，鲁棒性高等都是它的优点。(Using the genetic algorithm to calculate the extremum of a objective function. Compared with the traditional optimization methods (enumeration, heuristics, etc.), g
简单遗传算法求函数极值C代码
- 简单遗传算法求函数极值C代码，简单练手，希望有帮助(Simple genetic algorithm for function extreme value C code)