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GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs).

Can be used in any kind of .NET Core and .NET Framework apps, like ASP .NET MVC, ASP .NET Core, Blazor, Web Forms, UWP, Windows Forms, GTK#, Xamarin and Unity3D games.

Projects, papers, journals, books, tutorials, courses and apps using GeneticSharp




Add your own fitness evaluation, implementing IFitness interface.



Operators strategy







Task executors


Blazor samples

Console samples

  • AutoConfig
  • Bitmap equality
  • Equality equation
  • Equation solver
  • Function builder
  • Ghostwriter
  • TSP (Travelling Salesman Problem)

GTK# samples

  • Bitmap equality
  • Function optimization
  • Sudoku
  • TSP (Travelling Salesman Problem)

Unity3D Samples

  • Car2D
  • TSP (Travelling Salesman Problem)
  • Wall Builder


  • Mono, .NET Standard 2.0 and .NET Framework 4.6.2 support
  • Fully tested on Windows and MacOS

Code quality


.NET Standard 2.0 and .NET Framework 4.6.2

Only GeneticSharp:

install-package GeneticSharp

GeneticSharp and extensions (TSP, AutoConfig, Bitmap equality, Equality equation, Equation solver, Function builder, etc):

install-package GeneticSharp.Extensions


You should use the UnityNuGet to install GeneticSharp directly from NuGet.

Or you can use the latest GeneticSharp.unitypackage available on our release page.

Mono and .NET Framework 3.5

To install previous version that support .NET Framework 3.5:

install-package GeneticSharp -Version 1.2.0

Running samples

If you want to run the console, GTK# and Unity samples, just fork this repository and follow the instruction from our setup page wiki.

An easy way to run the Unity Samples, if you have a Android device, is download it from Google Play.


Creating your own fitness evaluation

public class MyProblemFitness : IFitness
	public double Evaluate (IChromosome chromosome)
		// Evaluate the fitness of chromosome.

Creating your own chromosome

public class MyProblemChromosome : ChromosomeBase
	// Change the argument value passed to base constructor to change the length 
	// of your chromosome.
	public MyProblemChromosome() : base(10) 

	public override Gene GenerateGene (int geneIndex)
		// Generate a gene base on my problem chromosome representation.

	public override IChromosome CreateNew ()
		return new MyProblemChromosome();

Running your GA

var selection = new EliteSelection();
var crossover = new OrderedCrossover();
var mutation = new ReverseSequenceMutation();
var fitness = new MyProblemFitness();
var chromosome = new MyProblemChromosome();
var population = new Population (50, 70, chromosome);

var ga = new GeneticAlgorithm(population, fitness, selection, crossover, mutation);
ga.Termination = new GenerationNumberTermination(100);

Console.WriteLine("GA running...");

Console.WriteLine("Best solution found has {0} fitness.", ga.BestChromosome.Fitness);

Templates for dotnet new

If you're using .NET Core, you can install GeneticSharp.Templates:

dotnet new -i GeneticSharp.Templates

There are 4 templates in GeneticSharp.Templates:

TSP Blazor application

A Blazor client application template with GeneticSharp ready to run a Travelling Salesman Problem (TSP).

dotnet new GeneticSharpTspBlazorApp -n MyNamespace -o MyOutoputFolder

Console application

A console application template with GeneticSharp, you just need to implement the chromosome and fitness function.

dotnet new GeneticSharpConsoleApp -n MyNamespace -o MyOutoputFolder

TSP Console application

A console application template with GeneticSharp ready to run a Travelling Salesman Problem (TSP).

dotnet new GeneticSharpTspConsoleApp -n MyNamespace -o MyOutoputFolder

TSP Unity3D

A Unity3D template with GeneticSharp ready to run a Travelling Salesman Problem (TSP).

dotnet new GeneticSharpTspUnity3d -n MyNamespace -o MyOutoputFolder


Having troubles?

How to improve it?

Create a fork of GeneticSharp.

Did you change it? Submit a pull request.


Licensed under the The MIT License (MIT). In others words, you can use this library for developement any kind of software: open source, commercial, proprietary, etc.

Thanks to

  • AppVeyor: open source license for continuous integration.
  • JetBrains: open source license for all products pack.
  • SMASHINGLOGO: GeneticSharp's logo.
  • SonarCloud: open source license for online inspection.
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