algorithms

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• - Introductory pages with interactive Java applets, useful tips for your own genetic algorithm
  
• - An advanced dedicated genetic algorithms search engine. The "Spider" indexes only GA related sites.
  
• - 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.
  
• - Genetic Algorithm to simulate neoteny, the retention by an organism of juvenile or even larval traits into later life.
  
• - "Zeroth-Order Shape Optimization Utilizing a Learning Classifier System" Web-based textbook.
  
• - A high school level introduction to the fundamentals of genetic algorithms.
  
• - 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.
  
• - 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.
  
• - Has a Java applet that helps the reader visualize the inner workings of the genetic algorithm.
  
• - A brief experiment in coding a simple genetic algorithm 'bit counter' that compares different evolution parameters.
  
• - 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.
  
• - Comprehensive FAQ for comp.ai.genetic. An unconventional and often witty introductory compendium. ASCII text only.
  
• - 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'.
  
• - Publications describe an application of their computer architecture to genetic algorithms. Software includes an online circuit simulator.
  
• - Contains information on genetic algorithms and programming techniques. Sponsors a genetic programming contest in java.
  
• - Examples of genetic programs in Perl and C++. Includes examples using the Google API to evolve strings as well as an ant evolver.
  
• - An ActiveX control for Genetic Algorithms written in Visual Basic. Provides a generic control that will perform the genetic run for any optimization problem.
  
• - A Java based optimization framework for evolutionary algorithms.
  
• - Researches and develops applications using evolutionary algorithms and genetic algorithms for finance and engineering.
  
• - 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.
  
• - Archives of GA-List, the genetic algorithms mailing list. Hosted at the Navy Center for Applied Research in Artificial Intelligence.
  
• - Use NeuroDimension's Genetic Server or Genetic Library products to embed genetic algorithms into your own VB/C++ application.
  
• - 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).
  
• - Contains links to genetic algorithms information on the Internet along with vendors and references. Published by PC AI magazine.
  
• - A Java software system for evolving walking techniques in artificial skeletons using genetic algorithms.
  
• - Open BEAGLE is an Evolutionary Computation (EC) framework entirely coded in C++. It provides a software environment to do any kind of EC.
  
• - ISAB is an international scientific society devoted to education and furthering research on adaptive behavior in animals, animats, software agents, and robots.
  
• - An independent, nonprofit research laboratory involved in the transdisciplinary study of complex systems. Invented the GA-based design of statistical quality control.
  
• - A global optimization and risk analysis software tool. Uses a unique combination of genetic algorithms and neural networks.
  
• - Genetic and Evolutionary Computation Conference 2001, July 7-11: Holiday Inn in San Francisco, California.
  
• - A simple genetic algorithms applet with instructions and some sample problems.
  
• - This Java applet demonstrates a continuous value genetic algorithm on a variety of problem spaces with a variety of reproduction methods.
  
• - Illinois Genetic Algorithms Laboratory at the University of Illinois at Urbana-Champaign. Contains a large collection of technical reports and software.
  
• - This GA framework in Squeak implements the operation of selection, mutation and crossing-over with visualization features.
  
• - 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.
  
• - Michigan State University Genetic Algorithms Research and Applications Group.
  
• - Developers of plan and schedule optimization software that utilizes genetic algorithms.
  
• - GEATbx is a comprehensive implementation of evolutionary algorithms in Matlab. A broad range of operators is fully integrated into one environment.
  
• - 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 compendium of 631 files on the art of evolutionary computation aimed at beginners in the field but useful as a reference to advanced programmers.
  
• - An evolutionary computation system using a stack-based virtual machine. Source code available.
  
• - Information, bibliography and resources on evolutionary synthesis of neuromorphic systems. Maintained by the Artificial Intelligence Research Group at Iowa State University.
  
• - Information on genetic algorithms, fuzzy logic, and artificial intelligence featuring downloadable applications, source code, and links.
  
• - A general GA toolkit implemented in Java, for experimenting with genetic algorithms and handling optimization problems. Source code is available.
  
• - Research publications in mathematical population genetics, evolutionary computation, and genetic algorithms.
  
• - Sixth International Conference on Parallel Problem Solving from Nature (2000), September 16-20: Paris, France.
  
• - Generalization, scheduling and performance evaluation from the Teacher Research Group.