搜索资源列表
GA
- 这是我们课程学习用的遗传算法代码，用C语言写的，有关于函数优化的，也有关于TSP问题的，资料很好，与大家一起分享-This is our course to learn genetic algorithm code, written in C language, on the function optimization, but also on the TSP problem, the information is very good, to share with you
GA
- matlab下的遗传算法，针对的是罚函数下的遗传算法优化-Matlab under the genetic algorithm, for the penalty function of the genetic algorithm optimization
the-simple-use-of-ga
- 对遗传算法在函数极值的运算中进行简单的应用-Of genetic algorithm in the extremum of function of operation for simple applications
GA-PSO
- GA优化PSO算法，解决二元函数找最值问题，matlab程序，开发环境R2012b-GA optimization PSO algorithm to solve binary function to find the most value problem, matlab program, the development environment R2012b
GA
- 利用遗传算法，对已定结构的传递函数参数进行辨识-Genetic algorithm is used to identify the transfer function parameters of the fixed structure
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
GA
- 用VC++实现，遗传算法求函数的最大值。代码能直接运行，不要调试。(With the vc + + implementation, the genetic algorithm takes the maximum value of the function.The code can run directly, not debugging.)
GA Ackley
- Ackley function in matlab with GA
GA
- 简单的遗传算法实现，选择，交叉，变异，适应度函数，种群的初始化等(Simple genetic algorithm implementation, selection, crossover, mutation, fitness function, the initialization of population and so on)
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.)
遗传优化算法
- 遗传算法，可用于求解函数优化问题，能够找到最优解(Genetic algorithm can be used to solve the function optimization problem, and can find the optimal solution)
GA
- 遗传算法 解决函数优化 多目标规划等问题(Genetic algorithm to solve function optimization, multi-objective programming and so on)
GA
- GA拟合多元函数，实现函函数的拟合。遗传算法在拟合复杂函数具有很好的效果。残差小。(GA fitting multivariate functions, the realization of the function of the fitting. The genetic algorithm has a good effect in fitting complex functions. Small residual.)
chapter3
- 用遗传算法优化神经网络，对非线性函数进行拟合。(The neural network is optimized by genetic algorithm, and the nonlinear function is fitted.)
GA
- 本算法为遗传算法示例程序，对函数进行寻优(it's a Genetic Algorithm program, used to realize the optimizing function)
PSO&GA
- 本文件对PID参数kp,ki,kd进行寻优，以ITAE作为指标函数。 PSO 文件中有详细的参数设置和寻优过程 GA寻优与PSO寻优作为对比出现 figure1展示了随着迭代次数的变化，适应度函数的收敛情况 figure2展示了kp,ki,kd的迭代情况 ht 文件是用来画图的 问题解决思路.pdf 简要介绍了粒子群算法寻优的过程(In this document, the PID parameters KP, Ki, KD are optimized, and ITAE is us
chapter8 基于量子遗传算法的函数寻优算法
- chapter8 基于量子遗传算法的函数寻优算法(Chapter8 function optimization algorithm based on quantum genetic algorithm)
chapter7 多种群遗传算法的函数优化算法
- chapter7 多种群遗传算法的函数优化算法(Chapter7 Function optimization algorithm based on multi population genetic algorithm)
GA-BP
- 算法基本要素： 1.染色体编码方法 2.适应度函数 3.遗传操作—-（选择、交叉、变异） 4.运行参数—（参数：群体大小M、遗传代数G、交叉概率Pc和变异概率Pm）(Basic elements of algorithm: 1. chromosome coding method 2. fitness function 3. - the genetic operation (selection, crossover and mutation) 4. operating pa
GA-BPNN
- 遗传算法优化BP神经网络-非线性函数拟合(BP neural network optimized by genetic algorithm for nonlinear function fitting)