Top 20 NuGet genetic Packages

LibOptimization is a numerical optimization library that simplifies optimization using C#, VisualBasic.Net and other .NET Framework languages. Implementing optimization algorithm are Steepest Descent Method, Newton Method, Nelder Mead Method (Original ver, Wikipedia ver) ,Hooke and Jeeves of Pattern...
The AForge.Genetic library contains classes to run Genetic Algorithms (GA), Genetic Programming (GP) and Gene Expression Programming (GEP). Set of chromosome and selection classes are provided. Full list of features is available on the project's web site.
Contains chromosome and selection classes to create Genetic Algorithms (GA), Genetic Programming (GP) and Gene Expression Programming (GEP). This package originated from the AForge.NET Framework and is now part of the Accord.NET Framework.
A fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs).
A simple to use Genetic Algorithm Framework for .Net. See the project page for details on how to use this package.
Extensions for GeneticSharp: a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs).
Network wrapper for use with the Genetic Algorithm Framework for .Net. See the project page for details on how to use this package.
Service discovery client for use with the GAF.Network component of the Genetic Algorithm Framework for .Net. See the project page for details on how to use this package.
An artificial-intelligence based engine to compute workshifts
C# library for simulation the development of human settlement
Gene Expression Programming
Estimation of Distribution Algorithms
Linear Genetic Programming
A set of templates written for the GeneticSharp: TSP Blazor, basic console application, TSP console application and TSP Unity3d. * Install the templates with command: dotnet new -i GeneticSharp.Templates * Create new projects for GeneticCharp: * dotnet new GeneticSharpTspBlazorAp...
A simple to use Genetic Algorithmic (GA) framework for finding solutions to optimization problems using metaheuristics in data lists.
Optimization and Machine Learning algorithm based on Linear Genetic Programming
C# library for simulation the development of human settlement
Framework for genetic algorithms
MathCore Library - Optimization
C# Library to perfrom Variable Selection according to the Give-A-Gap algortithm.