Artificial Intelligence: Genetic Programming: Algorithms

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

Archives of GA-List, the genetic algorithms mailing list. Hosted at the Navy Center for Applied Research in Artificial Intelligence.

Introductory pages with interactive Java applets, useful tips for your own genetic algorithm

A general GA toolkit implemented in Java, for experimenting with genetic algorithms and handling optimization problems. Source code is available.

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

Genetic algorithm citations starting with ICGA and FOGA. Part of the Computer Science Bibliography Collection at the Universitat Karlsruhe in Germany.

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.

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.

Use NeuroDimension's Genetic Server or Genetic Library products to embed genetic algorithms into your own VB/C++ application.

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

A global optimization and risk analysis software tool. Uses a unique combination of genetic algorithms and neural networks.

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

"Zeroth-Order Shape Optimization Utilizing a Learning Classifier System" Web-based textbook.

This GA framework in Squeak implements the operation of selection, mutation and crossing-over with visualization features.

Information, bibliography and resources on evolutionary synthesis of neuromorphic systems. Maintained by the Artificial Intelligence Research Group at Iowa State University.

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