搜索资源列表
matlab-GA
- 遗传算法的matlab实现代码，已验证无错误-Genetic algorithm matlab code, verified error
matlab-GA
- 提供遗传算法的MATLAB的实现。并且根据具体算例，给出了编写的步骤。具有一定的参考价值。-apply the realise of GA in matlab. also apply a program for the new learner .may helpful.
matlab-GA-tools
- matlab遗传算法工具箱基本用法，带书籍介绍，十分全面！-matlab genetic algorithm toolbox basic usage, with book, very comprehensive!
MATLAB-GAtools
- MATLAB GA TOOLs工具箱的介绍和使用.-MatlAB GA tools,the txt introduce it briefly.
MATLAB-GA
- 用MATLAB实现遗传算法程序,可作为理解遗传算法的好例子-MATLAB genetic algorithm program that can be used as a good example of understanding the genetic algorithm
MATLAB-ga
- matlab遗传算法入门教程及代码 雷英杰主编 -matlab genetic algorithm and code AIR Editor Tutorial
MATLAB-GA
- GA Program to optimize Parameters of GA-GA Program to optimize Parameters of GA
matlab-ga
- 基于matlab的遗传算法优化的程序，个人还没有完全看懂，但是可运行可用-GA based on matlab
matlab-GA
- 基于遗传算法的matlab车间布局源代码，由20个字了。-Workshop based on genetic algorithm matlab source code layout, the 20 words of.
GA
- matlab 自带函数解决无约束优化问题-matlab GA function solve unconstrained optimization problems
MATLAB-ga
- matlab经典遗传算法GGA求解一元函数优化问题-Matlab genetic algorithm optimization of one element function
GA优化BP神经网络
- 该程序利用遗传算法，优化神经网络结构，是MATLAB源代码。(The neural network structure is optimized by genetic algorithm)
GA-多目标约束问题
- Genetic algorithm multi-objective problem
GA-Job shop Scheduling
- job shop scheduling using GA optimization method
GA-两个变量求函数最小值
- matlab code learning from a simple example.
GA Ackley
- Ackley function in matlab with GA
终板 matlab程序
- 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！(GA MATLB procedures, there are genetic algorithm selection, crossover and mutation function, some simple examples MABTLAB GA!)
GA
- 遗传算法的MATLAB程序，画出收敛曲线，求结果的最大值(Genetic algorithm MATLAB procedures, draw a convergence curve, the results of the maximum value)
GA
- 时间序列算法，平稳性检验，采用matlab编程对数据序列的稳定性作出相应的判断(ime series algorithm, stationarity test, using MATLAB programming to determine the stability of the data sequence)
GA-BP代码
- 利用GA遗传算法优化BP神经网络，有理论介绍，有实例(BP neural network optimization using GA genetic algorithm, a theoretical introduction, there are examples)