搜索资源列表
DifferentialEvolutionAPracticalApproachtoGlobalOpt
- 这是一本讲微分进化的书，进化算法是以遗传算法为代表的一类随机算法的总称，95年由Rainer Storn和Kenneth Prici提出微分进化方法，比传统进化算法更好更简单，2004年该方法的原创者出版了长达580页的微分进化：一种全局优化的实用方法，本书是英文版，似乎还没有中文版，希望对感兴趣的人有用-This is a book stresses differential evolution, evolutionary algorithm based on genetic algorith
GA
- 简单的遗传算法源程序，你可以运行及参考，初步掌握遗传算法的过程-Simple genetic algorithm source code, you can run and reference, the initial grasp the process of genetic algorithm
GATSP
- 这是用c编写的旅行商问题的算法，比较简单，很好理解（使用遗传算法）-GA TSP
geneticalgorithmprocedure
- 遗传算法MATLB程序，里面有遗传算法的选择、交叉、变异函数，一些简单的MABTLAB遗传算法例子！-MATLB genetic algorithm procedure, which has the choice of genetic algorithm, crossover and mutation functions, some simple examples of genetic algorithm MABTLAB!
GA_Patternsearch
- 简单的遗传算法与模式搜索算法结合，算法的步骤为选择，交叉，变异，模式搜索。-Simple genetic algorithm combined with pattern search algorithm, the algorithm steps for the selection, crossover and mutation, pattern search.
gen
- 遗传算法 并有很简单的例子。对于初学者来说是个不错的选择-Genetic algorithms and has a very simple example. For beginners it is a good choice
duomubiaoyichuan
- 多目标遗传算法应用于电火花机床参数优化，优化过程简单，计算结果准确，收敛速度明显加快-Multi-objective genetic algorithm optimization applied to EDM, the optimization process is simple, accurate calculations, significantly speeding up the convergence rate
GeneticAlgorithmSourceCode
- 简单的遗传算法源代码 用于机器人路径规划 同大家分享-Simple genetic algorithm source code for the robot path planning to share
A_very_simple_genetic_algorithm_source_code
- 这是一个非常简单的遗传算法源代码，是由Denis Cormier (North Carolina State University)开发的，Sita S.Raghavan (University of North Carolina at Charlotte)修正。代码保证尽可能少，实际上也不必查错。对一特定的应用修正此代码，用户只需改变常数的定义并且定义“评价函数”即可。注意代码的设计是求最大值，其中的目标函数只能取正值；且函数值和个体的适应值之间没有区别。该系统使用比率选择、精华模型、单点杂交
temp
- 这是一个简单实用的实数编码遗传算法源代码，清晰，方便。-This is a simple and practical real-coded genetic algorithm source code, clear and convenient.
matlabmprogram
- 简单函数优化的遗传算法程序 简单函数优化的遗传算法程序-Simple function of the genetic algorithm optimization process simple function of the genetic algorithm optimization process simple function of the genetic algorithm optimization procedure
SGA
- 一个简单的遗传算法，适用于求解函数优化问题，Visual C++编写。-A simple genetic algorithm for solving function optimization problems, Visual C++ to prepare.
Genetic_Algorithm
- 利用matlab编写的一些简单函数优化的遗传算法程序～-Matlab prepared to use some simple function of the genetic algorithm optimization process ~
yichuan
- 一个简单的遗传算法，求一个函数在某个区间的最大值，作为学习一窜算法的初学者使用-A simple genetic algorithm, for a function at a certain interval of the maximum, as a learning algorithm for a beginner to use channeling
AdapGA
- 基本遗传算法，可以通过简单的调用即可实现最大值和最小值等函数-Basic genetic algorithm, a simple call through to the achievement of maximum and minimum values, such as function
myGA
- 自适应遗传算法，可以通过简单的调用即可实现最大值和最小值等函数-Adaptive genetic algorithm, a simple call through to the achievement of maximum and minimum values, such as function
adptivega
- 这是改进的遗传算法，在函数优化中，比简单的遗传算法能更好的收敛且精确度更高！-This is the improved genetic algorithms, function optimization in more than a simple genetic algorithm to better convergence and higher accuracy!
work
- 基于遗传算法和bp网络的简单人脸识别，只能识别三种表情。图像经过简单的小波变换处理-Bp networks based on genetic algorithm and a simple face recognition, could only identify three kinds of expressions. After a simple wavelet transform image processing
geneticalgorithmoptimizationneuralnetwork
- 这个程序是首先使用遗传算法优化神经网络权值和阈值，然后学习神经网络计算。参数的值有些可以根据需要进行修改。神经网络结构是一个简单的三层架构，可根据增加的情况下隐藏层，相应的修改程序。-This program is the first to use genetic algorithm optimization neural network weights and thresholds, then the learning neural network computing. Some of the
MATLAB
- 一个简单的遗传算法的例子程序，用作初学者的实验调试，-A simple example of the genetic algorithm process, as a beginner experiment debugging,