GA genetic algorithm for pseudo random key generation - source code download

codelooker → Download → Numerical Algorithm-Artificial Intelligence → AI-NN-PR

Search:

GA

Classification:Numerical Algorithm-Artificial Intelligence - AI-NN-PR Development Tool:C# Sise:218 KB Upload time:2014/11/30 23:30:13 Uploader:huhaihue Download Statistics:

Description

genetic algorithm for pseudo random key generation

App.ico

File list:
GA
.\Backup
.\......\App.ico
App.ico

.\......\AssemblyInfo.cs
.\......\Class1.cs
.\......\GeneticAlgorithm.csproj
.\......\GeneticAlgorithm.csproj.user
.\......\GeneticAlgorithm.sln
.\......\GeneticAlgorithm.suo
.\......\Genome.cs
.\......\ListGenome.cs
.\......\Population.cs
.\bin
.\...\Debug
.\...\.....\GeneticAlgorithm.dll
.\...\.....\GeneticAlgorithm.pdb
.\...\.....\GeneticAlgorithm.vshost.exe
.\...\.....\GeneticAlgorithm.vshost.exe.manifest
.\...\Release
.\obj
.\...\Debug
.\...\.....\temp
.\...\.....\TempPE
.\...\.....\DesignTimeResolveAssemblyReferencesInput.cache
.\...\.....\GeneticAlgorithm.csproj.FileListAbsolute.txt
.\...\.....\GeneticAlgorithm.dll
.\...\.....\GeneticAlgorithm.pdb
.\...\.....\GeneticAlgorithm.projdata
.\WebSite1
.\........\Account
.\........\.......\ChangePassword.aspx
.\........\.......\ChangePassword.aspx.cs
.\........\.......\ChangePasswordSuccess.aspx
.\........\.......\ChangePasswordSuccess.aspx.cs
.\........\.......\Login.aspx
.\........\.......\Login.aspx.cs
.\........\.......\Register.aspx
.\........\.......\Register.aspx.cs
.\........\.......\Web.config
.\........\App_Data
.\........\Bin
.\........\...\GeneticAlgorithm.dll
.\........\...\GeneticAlgorithm.dll.refresh
.\........\...\GeneticAlgorithm.pdb
.\........\Scripts
.\........\.......\jquery-1.4.1-vsdoc.js
.\........\.......\jquery-1.4.1.js
.\........\.......\jquery-1.4.1.min.js
.\........\Styles
.\........\......\Site.css
.\........\About.aspx
.\........\About.aspx.cs
.\........\AssemblyInfo.cs
.\........\Class1.cs
.\........\constringDatabase.txt
.\........\constringInstance.txt
.\........\constringUserName.txt
.\........\Default.aspx
.\........\Default.aspx.cs
.\........\Elgamal.aspx
.\........\Elgamal.aspx.cs
.\........\Genome.cs
.\........\Global.asax
.\........\KeyGenerator.aspx
.\........\KeyGenerator.aspx.cs
.\........\ListGenome.cs
.\........\Population.cs
.\........\QUERIES.txt
.\........\Site.master
.\........\Site.master.cs
.\........\UpgradeLog.XML
.\........\Web.config
.\_UpgradeReport_Files
.\....................\UpgradeReport.css
.\....................\UpgradeReport.xslt
.\....................\UpgradeReport_Minus.gif

.\....................\UpgradeReport_Plus.gif

.\App.ico

.\AssemblyInfo.cs
.\Class1.cs
.\ClassDiagram1.cd
.\GeneticAlgorithm.csproj
.\GeneticAlgorithm.csproj.user
.\GeneticAlgorithm.sln
.\GeneticAlgorithm.suo
.\GeneticAlgorithm.zip
.\Genome.cs
.\ListGenome.cs
.\Population.cs
.\RevErr.txt
.\UpgradeLog.XML

Related source code

[Minimum,Maximum,Average of negative ...] - This will give you the Minimum,Maximum,Average of negative terms. It's in French.
[Garry's Mod] - Lua source code to the game Garry's Mod, version 13
[arduino uno Wiegand] - Protocolo para lectoras RFID o HID con protocolo Wiegand para arduino
[FT800 atmega] - FT800 controller library for Atmega
[MacOS, Android as well as Windows so...] - This is a demo project with full source code and fully functioning strategy game. It has single code base which could be compiled for Windows as well as for Android and MacOS
[robot navigation in matlab] - robot navigation in matlab using optical flow
[Pashmak and Garden] - solution to Pashmak and Garden problem using c++
[game engine memory allocators] - a few types of user-space memory allocators for fast memory management.
[Approximating integral by (gauss qua...] - Approximating integral by (Gauss quadrature)or (newton cotes)
[gausian kernel estimator] - In statistics, kernel density estimation (KDE) is a non-parametric way to estimate the probability density function of a random variable. Kernel density estimation is a fundamental data smoothing problem where inferences about the population are made, based on a finite data sample. In some fields such as signal processing and econometrics it is also termed the Parzen–Rosenblatt window method, after Emanuel Parzen and Murray Rosenblatt, who are usually credited with independently creating it in its current form

Download Address

DownLoad

Comments: Don't forget to comment after downloading! Comment...

About - Advertise - Sitemap