基因表达式实验编程平台
所属分类：数值算法/人工智能
开发工具：C#
文件大小：13075KB
下载次数：6
上传日期：2019-04-27 02:14:55
上 传 者：
18522536989
说明： c# 平台建立的基因表达式平台编程系统，需要准备一些数据文件，在样例中有
(Gene Expression Platform Programming System Based on c# Platform)
文件列表:
基因表达式实验编程平台 (0, 2019-04-18)
基因表达式实验编程平台\.vs (0, 2019-02-25)
基因表达式实验编程平台\.vs\基因表达式实验编程平台 (0, 2019-02-25)
基因表达式实验编程平台\.vs\基因表达式实验编程平台\v14 (0, 2019-02-25)
基因表达式实验编程平台\.vs\基因表达式实验编程平台\v14\.suo (84480, 2019-03-14)
基因表达式实验编程平台\.vs\基因表达式实验编程平台\v15 (0, 2019-02-25)
基因表达式实验编程平台\.vs\基因表达式实验编程平台\v15\.suo (54784, 2019-02-20)
基因表达式实验编程平台\data (0, 2019-02-25)
基因表达式实验编程平台\data\result.txt (5346, 2019-03-02)
基因表达式实验编程平台\data\test.csv (450, 2019-02-25)
基因表达式实验编程平台\data\train.csv (2081, 2019-02-25)
基因表达式实验编程平台\doc (0, 2019-02-25)
基因表达式实验编程平台\doc\20180316210320178.jpg (90899, 2019-02-21)
zip (636763, 2019-02-21)
.vs (0, 2019-02-25)
.vs\GEPSharp (0, 2019-02-25)
.vs\GEPSharp\v14 (0, 2019-02-25)
.vs\GEPSharp\v14\.suo (58880, 2019-02-21)
ArtificialAnt (0, 2019-02-25)
ArtificialAnt\AntNode.cs (2167, 2015-12-05)
ArtificialAnt\App.config (182, 2015-12-05)
ArtificialAnt\ArtificialAnt.csproj (2961, 2015-12-05)
ArtificialAnt\bin (0, 2019-02-25)
ArtificialAnt\bin\Debug (0, 2019-02-21)
ArtificialAnt\Board.txt (1059, 2015-12-05)
ArtificialAnt\obj (0, 2019-02-25)
ArtificialAnt\obj\Debug (0, 2019-02-25)
ArtificialAnt\obj\Debug\DesignTimeResolveAssemblyReferencesInput.cache (6928, 2019-02-21)
ArtificialAnt\obj\Debug\TemporaryGeneratedFile_036C0B5B-1481-4323-8D20-8F5ADCB23D92.cs (0, 2019-02-21)
ArtificialAnt\obj\Debug\TemporaryGeneratedFile_5937a670-0e60-4077-877b-f7221da3dda1.cs (0, 2019-02-21)
ArtificialAnt\obj\Debug\TemporaryGeneratedFile_E7A71F73-0F8D-4B9B-B56E-8E70B10BC5D3.cs (0, 2019-02-21)
ArtificialAnt\obj\Debug\TempPE (0, 2019-02-21)
ArtificialAnt\Point.cs (673, 2015-12-05)
ArtificialAnt\Program.cs (3715, 2015-12-05)
ArtificialAnt\Properties (0, 2019-02-25)
ArtificialAnt\Properties\AssemblyInfo.cs (1402, 2015-12-05)
ArtificialAnt\Trail.cs (5038, 2015-12-05)
Boolean11Multiplexer (0, 2019-02-25)
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# GEPSharp
Gene Expression Programming (GEP) is a variety of genetic programming that differs significantly from John Kozas original version (GP). For this project, a library entitled GEPsharp was written in C#, implementing both GEP and GP. Then the library was tested on four traditional genetic programming sample problems. Results for GEP and GP were compared, and GEP was found to be faster, but no more effective. Additional features for the library which are not part of the original GP or GEP description were added and tested on the same sample problems.
Note that .gv files are graph description files, and can be opened with an appropriate viewing software, such as GraphViz.
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