GEATbx is an implementation of evolutionary algorithms in Matlab. A broad range of operators is fully integrated into one environment.

An open source genetic engine server, capable to run any kind of genetic algorithm. It has TCP architecture, working with software clients and human interaction.

Uses genetic algorithms to detect the best trading patterns and will adapt to any financial data. The trading signales generated are statistically validated and can be easily exported.

Contains information on genetic algorithms and programming techniques. Sponsors a genetic programming contest in java.

Generalization, scheduling and performance evaluation from the Teacher Research Group.

An independent, nonprofit research laboratory involved in the transdisciplinary study of complex systems. Invented the GA-based design of statistical quality control.

FAQs for comp.ai.genetic. An unconventional and often witty introductory compendium. ASCII text only.

A C++ library of genetic algorithm components. The library includes tools for using genetic algorithms to do optimization in any C++ program using any representation and genetic operators.

An ActiveX control for Genetic Algorithms written in Visual Basic. Provides a generic control that will perform the genetic run for any optimization problem.

Illinois Genetic Algorithms Laboratory at the University of Illinois at Urbana-Champaign. Includes a large collection of technical reports and software.