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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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.

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

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).

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.

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.

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

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

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.

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

A Java based optimization framework for evolutionary algorithms.

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'.

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

A tour scheduling and optimization library for Java that uses specialized genetic algorithms to calculate an optimized allocation of orders and stops to vehicles. Solves Traveling Salesman Problems (TSP) and Vehicle Routing Problems (VRPTW).

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

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