27 packages returned for Tags:"Genetic"

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

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.

A simple to use Genetic Algorithm Framework for .Net. See the project page for details on how to use this package.

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.

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

C# library for simulation the development of human settlement

C# library for simulation the development of human settlement

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... More information

Framework for genetic algorithms

Genetic algorithm written with respect to KISS principle.

Linear Genetic Programming

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.

Gene Expression Programming

C# Library to perfrom Variable Selection according to the Give-A-Gap algortithm.

MathCore Library - Optimization

An artificial-intelligence based engine to compute workshifts

Parallel Evolutionary Algorithm framework for developing optimization projects

Classical Algorithm

Optimization and Machine Learning algorithm based on Linear Genetic Programming