GiveAGap 1.0.3

.NET Framework 4.5 This package targets .NET Framework 4.5. The package is compatible with this framework or higher. 
dotnet add package GiveAGap --version 1.0.3
                    


                    

                
NuGet\Install-Package GiveAGap -Version 1.0.3
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="GiveAGap" Version="1.0.3" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="GiveAGap" Version="1.0.3" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="GiveAGap" />
                    


                            Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package. 
paket add GiveAGap --version 1.0.3
                    


                    

                
#r "nuget: GiveAGap, 1.0.3"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
#addin nuget:?package=GiveAGap&version=1.0.3
                    


                            Install GiveAGap as a Cake Addin
                        

                    

                
#tool nuget:?package=GiveAGap&version=1.0.3
                    


                            Install GiveAGap as a Cake Tool

Headings Install the package and then add at least this line of code below to run once the algorithm Code Block var mutationProb = 0.1f; var crossOverProb = 0.8f; var dimVincoli = 1000; var dimVars = 15; var trPerc = 0.5; var vdPerc = 0.25; var myTest = new SynthTest(dimVincoli, dimVars, trPerc, vdPerc, 1, 1); // or Create another test expanding SynthTest.cs GeneticAlgorithmSETUP setup = new GeneticAlgorithmSETUP(myTest, dimVincoli, dimVars, trPerc, vdPerc, 1, crossOverProb, mutationProb); setup.minFit = 0.45; setup.forcedINOUT = Vector<double>.Build.Dense(setup.dimVars); // modify your ForcedInOutClass var forcedINOUT = setup.forcedINOUT; var result = setup.Start(0.8,30,true); // Termination Conditions (minFit,minGen,and) Console.WriteLine("SELECTED: " + result.Item1); Console.WriteLine("In " + result.Item2 + " generations"); Console.WriteLine("In " + result.Item3 + " seconds"); Console.WriteLine("Fitness on TS " + result.Item4); Console.WriteLine("Fitness on TR VD " + result.Item5); Console.WriteLine("*****************"); Explaination Basically you need to choose mutation and crossover probability, then setup the algorithm giving him the size of the input Matrix, and then calling setup.Start() the algorithm starts and when execution finishes you get a tuple with all element you need for the analysis

Product Compatible and additional computed target framework versions.
.NET Framework net45 is compatible.  net451 was computed.  net452 was computed.  net46 was computed.  net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

This package has no dependencies.

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This package is not used by any NuGet packages.

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Version Downloads Last updated
1.0.3 1,725 11/11/2017
1.0.2 1,719 11/5/2017
1.0.1 1,628 11/5/2017
1.0.0 1,729 11/5/2017