搜索资源列表
GA.C
- 基于VC++的遗传算法源码(相当经典),非常可观
遗传算法优化函数
- 用matblab实现了用遗传算法优化函数的过程
matlab.rar
- matlab标准遗传算法 优化函数为f=-(x-1)^2+4,其中,0<=x<=3,matlab
PSOtoolbox.rar
- 微粒群算法[PSO ] 是由Kennedy 和Eberhart等于1995 年开发的一种演化计算技术, 来源于对鸟群捕食过程的模拟。PSO同遗传算法类似,是一种基于叠代的优化工具,但与遗传算法使用遗传操作子进行优化不同,利用群体中各个体之间的“协作”与“竞争”关系,根据自身及其竞争者的飞行经验,调整自己的行为。同遗传算法比较,PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化,神经网络训练,模糊系统控制以及其他遗传算法的应用领域。,Particle Swarm Opt
QGAforfun.rar
- 量子遗传算法对标准函数的优化,在matlab下的源程序,Quantum genetic algorithm optimization of the standard function in matlab source code under the
GA
- matlab编写的遗传算法优化程序,采用随机配对交叉,多点交叉,两点交叉,编译对目标函数进行优化-matlab genetic algorithm to optimize the preparation procedures, using a random cross-matching, multi-point crossover, two cross-cutting, the compiler of the objective function to optimize
optimization_cases_using_GA
- 运用遗传算法进行多元多峰函数优化,多目标问题优化!有案例!可以运行!-using Genetic Algorithm to test multi-peak function and multi-objective function.
ga_bp
- 用遗传算法优化神经网络,有关函数已经经过更新,以适应matlab新版-Neural network using genetic algorithm, the function has been updated to accommodate the new version of matlab
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.
example
- 本算法是一种标准遗传算法,应用于函数优化,性能较好。-The algorithm is a standard genetic algorithm, applied to function optimization, performance better.
GA
- 用遗传算法简单一元函数优化实例,效果较好,可以模仿做-Easy to use genetic algorithm function optimization examples of one dollar, the effect is better to do can be replicated
fitnessfunction
- 线性二次最优控制加权阵遗传算法优化适应度函数m文件;模糊控制器量化比例因子遗传算法优化适应度函数m文件-Linear quadratic optimal control weighted array genetic algorithm fitness function m documents quantization scale factor of fuzzy controller optimized by GA fitness function m file
GA
- 热能工程专业硕士研究生毕业课题:遗传算法目标函数优化-Thermal engineering graduate Master' s graduate student issues: genetic algorithm to optimize the objective function
SGAC
- 标准遗传算法源码 C语言编程 求解函数优化问题。-Standard genetic algorithm C language programming for Function Optimization.
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
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!
fga-1.4.tar
- 使用Visual C++ 2003编写的遗传算法库,具有详细的说明文档,使用接口函数传入相关适应度函数与基因个数、迭代次数相关信息,进行目标优化,使用类模板的形式支持函数并行化-Using Visual C++ 2003 prepared by the genetic algorithm library, a detailed descr iption of the document, use the interface function is passed the fitness functi
GA
- 该算法为一改进的遗传算法,进行了调试,各参数可以设置,并能用于进行函数优化,效果不错,有说明文档。-The algorithm is an improved genetic algorithm was debugged, the parameters can be set, and can be used for function optimization, good results, there is documentation.
gentclasswork
- 遗传算法在实际生活中的应用。首先简要阐述了遗传算法的基本原理和其操作步骤,之后介绍了遗传算法在各个领域的应用,采用C语言实现遗传算法对函数求值优化问题的求解-Genetic algorithm in real life applications. First, a brief descr iption of the basic principles of genetic algorithms and their steps, followed by introduction of genetic