GeneticSharp

Why we included this project

For .NET developers who need to solve optimization problems, this library provides the genetic algorithm machinery out of the box: selection, crossover, and mutation operators, plus configurable termination conditions. You write the fitness function and how the problem is encoded, and the library handles the rest. The multithreading support matters when evaluating fitness is the slow part of a run. It works across ASP.NET Core, Blazor, MAUI, and Unity3D, so web teams and game developers alike can pull it in as a NuGet package. Researchers and students also use it for prototyping scheduling, resource allocation, and search problems, and the project lists published papers and real applications that go well beyond a demo.