搜索资源列表
GA
- 基本的遗传算法实现，并举了一个简单的例子，编程语言matlab-Basic genetic algorithm, both a simple example, programming language matlab
GA
- 这是一个c++实现的基本遗传算法 很好用的，只要按照提示输入数值区间就行了或者自己把那个函数改一下就可以做了。-c++ to achieve a good basic genetic algorithm used
genetic-algorithm
- 用基本遗传算法求解一维无约束优化问题 用顺序选择遗传算法求解一维无约束优化问题 用动态线性标定适应值的遗传算法求解一维无约束优化问题 用大变异遗传算法求解一维无约束优化问题 用自适应遗传算法求解一维无约束优化问题 用双切点遗传优化求解一维无约束优化问题 用多变异位自适应遗传优化求解一维无约束优化问题 -The basic genetic algorithm with one-dimensional sequence of unconstrained optimizat
GA-of-genetic-algorithms
- 遗传算法原理及应用 遗传算法的基础应用，是遗传算法的基本知识-Principle and Application of genetic algorithm based on genetic algorithm applications, basic knowledge of genetic algorithms
GA
- 基本遗传算法maltab源程序， 比较实用-Maltab basic genetic algorithm source code, more practical
matlab_GA_7.0
- 基于MATLAB7.0，求函数f=x+10*sin(5*x)+7*cos(4*x)的最大值点，简单的单点交叉，基本位变异，赌轮盘选择.-Based on MATLAB7.0, find the function f = x+10* sin (5* x)+7* cos (4* x) the maximum point, a simple single-point crossover, the basic bit mutation, gambling roulette wheel.
GA
- 用Matlab编写的基本遗传算法程序，适合于初学者-Prepared using Matlab basic genetic algorithm, suitable for beginners
GA-and-Improved-GA
- 这是关于基本GA算法和改进GA算法的程序，包括循序选择GA，大变异GA，自适应GA等。-This is about the basic GA algorithm and the improved GA algorithm procedures, including sequential selection GA, a large variation of GA, such as adaptive GA.
GA
- 二进制基本遗传算法例程序，运用matlab M文件编写。-Binary basic genetic algorithm example program, the use of Matlab M documentation.
GA
- 基本遗传算法，采用单点交叉算子和倒位变异算子-Basic genetic algorithm using a single point crossover operator and inversion mutation operator
GA
- 用matlab实现的基本遗传算法、顺序选择遗传算法、适值函数标定的遗传算法、大变异遗传算法、自适应遗传算法、双切点交叉遗传算法、多变异位自适应遗传算法-Using matlab realize the basic genetic algorithm sequentially selects genetic algorithm, fitness function of the genetic algorithm calibration, large mutation genetic algorit
adaptive-GA-TSP
- 运用matlab进行编程，能够解决TSP旅行商问题的基本遗传算法的实现，其中参数可自定义-Programming using matlab, able to solve the TSP traveling salesman problem of the realization of the basic genetic algorithm, the parameter can be customized
GA
- genetic algorithm very basic function
GA
- myGA:用基本遗传算法求解一维无约束优化问题 AdapGA:用自适应遗传算法求解一维无约束优化问题-MyGA: Basic genetic algorithm to solve one dimensional unconstrained optimization problem AdapGA: Adaptive genetic algorithm for solving one dimensional unconstrained optimization problem
GA
- 用matlb语言，描述了遗传算法最基本的流程结构。通俗易懂，并且还附加了，对遗传算法的文字介绍-Matlb language used to describe the genetic algorithm basic process structure. Easy to understand, and also added, genetic algorithm text descr iption
zjss
- 基础遗传算法 适应度 最优值等，适合新手-basic GA
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.)
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
- 基本的遗传算法工具箱，可以实现常用的遗传算法优化，方便调用。(The basic genetic algorithm toolbox. Easy to use.)
GA-ELM
- 遗传算法优化的极限学习机模型 采用水仙花基本特征数据集 效果比单纯的ELM模型要好(The effect of using daffodils basic feature data set in the extreme learning machine model optimized by genetic algorithm is better than that of ELM model only.)