文件名称:GA_Matlab
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 182kb
- 下载次数：
- 0次
- 提 供 者：
- starb******
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
在工业工程中,许多最优化问题性质十分复杂,很难用传统的优化方法来求解.自1960年以来,人们对求解这类难解问题日益增加.一种模仿生物自然进化过程的、被称为“进化算法（evolutionary algorithm）”的随机优化技术在解这类优化难题中显示了优于传统优化算法的性能。目前，进化算法主要包括三个研究领域：遗传算法、进化规划和进化策略。其中遗传算法是迄今为止进化算法中应用最多、比较成熟、广为人知的算法。-In industrial projects, many of the optimization problem very complex nature, it is difficult using traditional optimization methods to solve. Since 1960, people have to solve such difficult problems is growing. A mimic natural biological evolution, and was said as
相关搜索： ga
matlab
遗传算法
matlab
进化算法
ga
matl
遗传算法
ga
wheel
selection
matlab
最优化
evolutionary
algorithm
最优化问题
matlab
遗传算法
matlab
进化算法
ga
matl
遗传算法
ga
wheel
selection
matlab
最优化
evolutionary
algorithm
最优化问题
(系统自动生成,下载前可以参看下载内容)
下载文件列表
遗传算法及其Matlab实现
......................\ga
......................\..\adjswapMutation.m
......................\..\arithXover.m
......................\..\b2f.m
......................\..\binaryExample.m
......................\..\binaryMutation.m
......................\..\boundaryMutation.m
......................\..\calcbits.m
......................\..\Contents.m
......................\..\coranaEval.m
......................\..\coranaFeval.m
......................\..\coranaMin.m
......................\..\cyclicXover.m
......................\..\delta.m
......................\..\dists.m
......................\..\EER.m
......................\..\enhancederXover.m
......................\..\erXover.m
......................\..\f2b.m
......................\..\floatExample.m
......................\..\floatGradExample.m
......................\..\ga.m
......................\..\gademo.m
......................\..\gademo1.m
......................\..\gademo1eval1.asv
......................\..\gademo1eval1.m
......................\..\gademo2.m
......................\..\gademo3.m
......................\..\gaMichEval.m
......................\..\gaotv5.ps
......................\..\gaZBGrad.m
......................\..\gaZBGradEval.m
......................\..\heuristicXover.m
......................\..\initializega.m
......................\..\initializeoga.m
......................\..\inversionMutation.m
......................\..\linerorderXover.m
......................\..\maxGenTerm.m
......................\..\multiNonUnifMutation.m
......................\..\nonUnifMutation.m
......................\..\normGeomSelect.m
......................\..\optMaxGenTerm.m
......................\..\orderBasedExample.m
......................\..\orderbasedXover.m
......................\..\parse.m
......................\..\partmapXover.m
......................\..\plotCorana.m
......................\..\README.txt
......................\..\roulette.m
......................\..\shiftMutation.m
......................\..\simpleXover.m
......................\..\singleptXover.m
......................\..\startup.m
......................\..\swapMutation.m
......................\..\threeswapMutation.m
......................\..\tournSelect.m
......................\..\tspEval.m
......................\..\unifMutation.m
......................\..\uniformXover.m
......................\遗传算法及其MATLAB实现.doc
......................\ga
......................\..\adjswapMutation.m
......................\..\arithXover.m
......................\..\b2f.m
......................\..\binaryExample.m
......................\..\binaryMutation.m
......................\..\boundaryMutation.m
......................\..\calcbits.m
......................\..\Contents.m
......................\..\coranaEval.m
......................\..\coranaFeval.m
......................\..\coranaMin.m
......................\..\cyclicXover.m
......................\..\delta.m
......................\..\dists.m
......................\..\EER.m
......................\..\enhancederXover.m
......................\..\erXover.m
......................\..\f2b.m
......................\..\floatExample.m
......................\..\floatGradExample.m
......................\..\ga.m
......................\..\gademo.m
......................\..\gademo1.m
......................\..\gademo1eval1.asv
......................\..\gademo1eval1.m
......................\..\gademo2.m
......................\..\gademo3.m
......................\..\gaMichEval.m
......................\..\gaotv5.ps
......................\..\gaZBGrad.m
......................\..\gaZBGradEval.m
......................\..\heuristicXover.m
......................\..\initializega.m
......................\..\initializeoga.m
......................\..\inversionMutation.m
......................\..\linerorderXover.m
......................\..\maxGenTerm.m
......................\..\multiNonUnifMutation.m
......................\..\nonUnifMutation.m
......................\..\normGeomSelect.m
......................\..\optMaxGenTerm.m
......................\..\orderBasedExample.m
......................\..\orderbasedXover.m
......................\..\parse.m
......................\..\partmapXover.m
......................\..\plotCorana.m
......................\..\README.txt
......................\..\roulette.m
......................\..\shiftMutation.m
......................\..\simpleXover.m
......................\..\singleptXover.m
......................\..\startup.m
......................\..\swapMutation.m
......................\..\threeswapMutation.m
......................\..\tournSelect.m
......................\..\tspEval.m
......................\..\unifMutation.m
......................\..\uniformXover.m
......................\遗传算法及其MATLAB实现.doc