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56203 resources
FAQs for comp.ai.genetic. An unconventional and often witty introductory compendium. ASCII text only.
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.
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.
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.
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.
This Java applet demonstrates a continuous value genetic algorithm on a variety of problem spaces with a variety of reproduction methods.
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.
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 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.
Has a Java applet that helps the reader visualize the inner workings of the genetic algorithm.
Examples of genetic programs in Perl and C++. Includes examples using the Google API to evolve strings as well as an ant evolver.
Open BEAGLE is an Evolutionary Computation (EC) framework entirely coded in C++. It provides a software environment to do any kind of EC.