文件名称:gaot_and-material
- 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：
- 2016-03-15
- 文件大小：
- 6.92mb
- 下载次数：
- 0次
- 提 供 者：
- 陈**
- 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
最近在学习遗传算法工具箱，对比了多个工具箱之后，网上都说gaot工具箱最权威了，然后比较容易就下载下来了。可是其学习资料比较难下，而且安装有困难。我在论坛里没有搜索到相关资料，所以就冒昧的将这些资料上传上来了。
本附件包含了gaot遗传算法工具箱、安装说明、及其使用指导。
使用指导包括了三个pdf文件，第一是简单的讲解美国北卡罗来纳州立大学编写的《Genetic Algorithm Optimization Toolbox 》(GAOT遗传算法优化工具箱)的使用的方法，适合与初学者的。第二是《MATLAB遗传算法工具箱_GAOT_在水资源优化计算中的应用》是一个使用案例。最后是一本书《MATLAB6.5辅助优化计算与设计》的第五章有相关内容。
虽然列了三个学习资料，但资料还是比较简单、浅薄，要想学好gaot工具箱还得靠工具箱中的m文件看其说明。本人也是菜鸟一个，和大家一起学习，所以这些资料还没有看，过一段时间之后才会有所涉及，所以有相关问题我也解决不了。希望对大家有所帮助。-After recently learning genetic algorithm toolbox, compared to more than one toolbox, toolbox gaot online say the most authoritative and relatively easy to download down. But it is more difficult to study materials under, and installation difficulties. I do not have to search for relevant information in the forum, so I will take the liberty of uploading this information will come up.
This annex contains gaot genetic algorithm toolbox, installation instructions, directions for its use.
Tutorial includes three pdf files, the first is simple to explain North Carolina State University prepared Genetic Algorithm Optimization Toolbox (GAOT Genetic Algorithm Optimization Toolbox) method to use, suitable for beginners. The second is MATLAB genetic algorithm toolbox _GAOT_ Water Resources Optimization Calculation is a use case. The last is a book MATLAB6.5 assisted optimization and design chapter related content.
Although three columns learning materials, but the data is relatively sim
本附件包含了gaot遗传算法工具箱、安装说明、及其使用指导。
使用指导包括了三个pdf文件，第一是简单的讲解美国北卡罗来纳州立大学编写的《Genetic Algorithm Optimization Toolbox 》(GAOT遗传算法优化工具箱)的使用的方法，适合与初学者的。第二是《MATLAB遗传算法工具箱_GAOT_在水资源优化计算中的应用》是一个使用案例。最后是一本书《MATLAB6.5辅助优化计算与设计》的第五章有相关内容。
虽然列了三个学习资料，但资料还是比较简单、浅薄，要想学好gaot工具箱还得靠工具箱中的m文件看其说明。本人也是菜鸟一个，和大家一起学习，所以这些资料还没有看，过一段时间之后才会有所涉及，所以有相关问题我也解决不了。希望对大家有所帮助。-After recently learning genetic algorithm toolbox, compared to more than one toolbox, toolbox gaot online say the most authoritative and relatively easy to download down. But it is more difficult to study materials under, and installation difficulties. I do not have to search for relevant information in the forum, so I will take the liberty of uploading this information will come up.
This annex contains gaot genetic algorithm toolbox, installation instructions, directions for its use.
Tutorial includes three pdf files, the first is simple to explain North Carolina State University prepared Genetic Algorithm Optimization Toolbox (GAOT Genetic Algorithm Optimization Toolbox) method to use, suitable for beginners. The second is MATLAB genetic algorithm toolbox _GAOT_ Water Resources Optimization Calculation is a use case. The last is a book MATLAB6.5 assisted optimization and design chapter related content.
Although three columns learning materials, but the data is relatively sim
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下载文件列表
gaot工具箱及其相关资料
......................\GAOT5的使用讲解.pdf
......................\MATLAB6.5辅助优化计算与设计.pdf
......................\MATLAB遗传算法工具箱_GAOT_在水资源优化计算中的应用.pdf
......................\最权威的遗传算法工具箱gaot
......................\..........................\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.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
......................\..........................\roulette.m
......................\..........................\shiftMutation.m
......................\..........................\simpleXover.m
......................\..........................\singleptXover.m
......................\..........................\startup.m
......................\..........................\swapMutation.m
......................\..........................\threeswapMutation.m
......................\..........................\tournSelect.m
......................\..........................\tspEval.m
......................\..........................\unifMutation.m
......................\..........................\uniformXover.m
......................\最权威遗传算法工具箱GAOT(goat)安装方法.doc