搜索资源列表
improved-GA
- 改进的遗传算法对函数做优化，源码已给出，运行效果可以-The improved genetic algorithm for function optimization, the source code is given, the running effect
ga
- 用遗传算法求解多参函数最值问题，包括主程序，选择、交叉、变异等相关程序-A Genetic Algorithm for Multi-parameter function best value, including the main program, selection, crossover, mutation, and other related programs
Ga
- 遗传算法，实现求函数最值问题,适合初学者进行学习-Genetic algorithm, seeking to achieve the function most value question
AUTO-GA
- matlab 下自适应遗产算法求一元函数的最大值-Heritage adaptive algorithm for the maximum under a dollar matlab function
GA
- 此為求解系統最佳化之功用，基因演算法(GA)，挑選機制:複製交配後即為突變，初新者若要學習C++的GA可用此來研究，寫得很清楚-This is the function of the system to solve the optimization, genetic algorithms (GA), the selection mechanism: after mating mutant copy, beginning a new person to learn C++ the GA can u
Panggua-GA
- 此為拿一簡單之目標函數來應用基因演算法(GA)來求解，有帶題目進去，為初階之GA應用，適合初學者來學習，以100疊代結尾-This is to take a simple function of the target gene to apply algorithms (GA) to solve, go in there with a topic for elementary application of GA, suitable for beginners to learn, to 100 at
GA-opf
- 利用遗传算法解决电力系统最优潮流问题。程序opf1为最优潮流的模型建立部分，gaopf是主函数，求解最小燃料费用。-By using the genetic algorithm to solve the power system optimal power flow problem.Program opf1 for optimal power flow model is established in this part, gaopf is the main function, and solvi
GA
- 遗传算法的主要程序，只要修改其中的目标函数即可以得到我们想要的结果-The main program of genetic algorithms, as long as modify the objective function that can get the results we want
GA
- 簡單的遺傳算法求函數最值問題，適合初學遺傳算法的人去理解遺傳算法的過程和原理-Simple genetic algorithms function best value problems, genetic algorithms suitable for beginners to understand the process and the principles of human genetic algorithms
ga
- 在matlab下实现遗传算寻找二元函数最大值-Achieve the genetic algorithm to find the maximum value of a binary function under the matlab
GA-algorithms
- 结合精英保留和轮盘赌、两两竞争法的几种选择算子和单点交叉算子与改进交叉算子分别对函数最小值求解，通过仿真计算相应的平均最小值，平均运行时间等统计值，并比较优差。-Combine elitist and roulette, several pairwise competition law selection operator and a single point of crossover with improved crossover for solving the minimum functio
GA-to-optimize-BP
- 遗传算法优化BP神经网络-非线性函数拟合-Genetic algorithm to optimize the BP neural network to nonlinear function fitting
GA
- 用python写的遗传算法，增加倒序功能-Genetic algorithm written in Python and add reverse function
GA
- 遗传算法优化BP的一个例子，各种函数程序均有包含-An example of genetic algorithm optimization for BP, all function program included
Binary-GA--Code
- Binary Genetic Algorithm codes with a sample and cost function.
bp-ga-method
- 基于遗传算法的BP神经网络算法(以下简称BP—GA)就是在BP神经网络的学习过程中，将权重和阀值描述为染色体，并选取适宜的适应函数，然后进行GA迭代，直到某种意义上的收敛．-GA BP neural network algorithm (hereinafter referred to as BP-GA) is in the learning process BP neural network, the weights and thresholds described as chromosomes
using-GA-in-antenna-array
- 提出了整数编码，动态调整交叉概率、变异概率，并将适应度函数设为最大相对旁瓣电平,一种改进遗传算法的优化方法来实现直线稀疏阵列的设计-Proposed integer coding, dynamic adjustment of crossover probability, mutation probability, and the fitness function is set to the maximum relative sidelobe level, an improved genetic
GA
- genetic algorithm very basic function
sga
- 利用遗传算法解决实际问题，用于平面度的测量以及具体的一元函数优化求极值，适用于matlab-using matlab to make a program to solve the ga function
GA._B
- 基于二进制利用遗传算法实现函数的极值优化-Extreme value optimization of function based on binary genetic algorithm