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

Provides a "black box" program which uses a genetic algorithm to optimize your problem without having to code a genetic algorithm or understand how they work.

Publications describe an application of their computer architecture to genetic algorithms. Software includes an online circuit simulator.

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

A compendium of 631 files on the art of evolutionary computation aimed at beginners in the field but useful as a reference to advanced programmers.

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

A Java evolutionary computation framework. It includes a visual designer, source code editor and debugger and aims to provide a toolkit for easy implementation of all kinds of evolutionary algorithms.

Examples of genetic programs in Perl and C++. Includes examples using the Google API to evolve strings as well as an ant evolver.

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

An advanced dedicated genetic algorithms search engine. The "Spider" indexes only GA related sites.

A Java software system for evolving walking techniques in artificial skeletons using genetic algorithms.

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.

Michigan State University Genetic Algorithms Research and Applications Group.

Genetic and Evolutionary Computation Conference 2001, July 7-11: Holiday Inn in San Francisco, California.

Has a Java applet that helps the reader visualize the inner workings of the genetic algorithm.

This Java applet demonstrates a continuous value genetic algorithm on a variety of problem spaces with a variety of reproduction methods.

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

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

GEATbx is a comprehensive 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.

A simple genetic algorithms applet with instructions and some sample problems.

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.

Information on genetic algorithms, fuzzy logic, and artificial intelligence featuring downloadable applications, source code, and links.

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

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

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

ISAB is an international scientific society devoted to education and furthering research on adaptive behavior in animals, animats, software agents, and robots.

An introductory explanation of genetic algorithms available in HTML and PDF formats. The Genetic Algorithm Viewer Java applet shows the functioning of a genetic algorithm.

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

A Java based optimization framework for evolutionary algorithms.

An evolutionary computation system using a stack-based virtual machine. Source code available.

Graduate research project of Joy Schoenberger at the College of William and Mary. It attempts to use genetic algorithms for musical composition, with coherency through genotype.

A brief experiment in coding a simple genetic algorithm 'bit counter' that compares different evolution parameters.

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

Open BEAGLE is an Evolutionary Computation (EC) framework entirely coded in C++. It provides a software environment to do any kind of EC.

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

Developers of plan and schedule optimization software that utilizes genetic algorithms.

Research publications in mathematical population genetics, evolutionary computation, and genetic algorithms.

Contains links to genetic algorithms information on the Internet along with vendors and references. Published by PC AI magazine.

Sixth International Conference on Parallel Problem Solving from Nature (2000), September 16-20: Paris, France.

Jeep is a modular, abstract and distributed evolutionary programming core written in Java (open source), allowing to grow autonomous agents as well a gene pool (as in genetic algorithms).

Researches and develops applications using evolutionary algorithms and genetic algorithms for finance and engineering.

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

Assists companies in taking advantage of the huge benefits that have been accomplished by recent research and academic work in the fields of 'soft computing' and 'autopoiesis'.

Genetic Algorithm to simulate neoteny, the retention by an organism of juvenile or even larval traits into later life.