搜索资源列表
GA
- 遗传算法的函数优化sga-genetic algorithm optimization function sga
function
- 遗传算法小程序,关于解决TSP问题的遗传算法,仅供参考,多多交流-GA small program on the settlement of the TSP Genetic Algorithm for reference purposes only and interact more
GA
- 一个遗传算法 ，用于优化支持向量机的核函数参数及相关参数-A function about the parameters of svm
GA
- 这是一种对遗传算法的Matlab实现，此算法主要应用于求函数的极值。-This is a Matlab implementation of genetic algorithms, this algorithm is mainly used in extreme demand function.
GA-function-optimization
- 遗传算法求解函数优化问题及其matlab的实现-Genetic algorithm matlab function optimization problems and their realization
GA
- optimal pid control design for a plant using GA. Here ISE is taken as objective function
GA-max
- 遗传算法求函数最大值,并以简单一元二次函数为例进行说明-GA function max
ga
- find minimal value using ga function
GA
- matlab 自带函数解决无约束优化问题-matlab GA function solve unconstrained optimization problems
PSO-BP和GA-BP
- 分别使用PSO和GA优化BP神经网络的参数，用于非线性函数拟合(PSO and GA are used to optimize the parameters of the BP neural network for nonlinear function fitting)
GA遗传算法
- 应用遗传算法求函数最优解，采用c++编程，包括三个文件。建议迭代次数大于等于100(Application of genetic algorithm to optimal solution of function)
ga遗传算法解最优解
- 这篇matlab程序是无需工具箱解决无约束目标函数最大值的程序(This matlab program is a program that does not need a toolbox to solve the maximum of an unconstrained objective function)
GA
- 这是一个简单的遗传算法入门，通俗的介绍给算法的功能，方便入门。(This is a simple genetic algorithm entry, popular introduction to the algorithm function, easy access.)
GA
- 封装好的GA函数, C++，可直接调用，目前是单目标函数(GA code / c++, can be used directly, for single object function)
GA
- 用GA算法求函数最大值，最基础的遗传算法(Using GA algorithm to find the maximum function, the most basic genetic algorithm)
GA+PSO
- 压缩文件中包含三个文件，分别是：GA+PSO、GA_only和PSO_only三个程序包。程序是用MATLAB编写的遗传+粒子群算法、遗传算法、粒子群算法，每个程序中包括主程序、种群选择、自适应函数子函数。(The compressed file contains three files, which are GA PSO, ga_only and pso_only three program package. The program is genetic particle swarm algo
GA _new
- 多目标函数优化，举例说明，完整遗传算法;不错的学习算法(multi-objective function optimization;illustration;Complete genetic algorithm)
ga
- 这个例子显示了如何创建和管理功能的遗传算法遗传算法的全局优化工具箱的选项optimoptions。(This example shows how to create and manage options for the genetic algorithm function ga using optimoptions in the Global Optimization Toolbox.)
GA-LSSVM.m
- 遗传算法优化最小二乘支持向量机的核函数参数和正则化参数(Optimization of Kernel Function and Regularization Parameters of Least Square Support Vector Machine by Genetic Algorithms)
GA-DF2
- 利用GA遗传算法解决欺骗函数最优问题，具体问题描述如下，如有问题请与我联系(The deceptive functions are a family of functions in which there exists low-order building blocks that do not combine to form the higher-order building blocks. Here, a deceptive problem that consists of 25 copies