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.
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 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.
An independent, nonprofit research laboratory involved in the transdisciplinary study of complex systems. Invented the GA-based design of statistical quality control.
Illinois Genetic Algorithms Laboratory at the University of Illinois at Urbana-Champaign. Includes 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.
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).
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.
An ActiveX control for Genetic Algorithms written in Visual Basic. Provides a generic control that will perform the genetic run for any optimization problem.
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).
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'.
