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VKAS uses genetic programming methods to find out the relationship among a set of independent and dependent variable. It is a problem solver software which uses evolutionary computing methods.
When vkas is run, it creates a population of chromosomes at random. This population is then genetically modified and next population is generated. Each population is subjected to fitness calculation and if a suitable answer chromosome is found then vkas stops and the answer is printed. If a suitable...
TGPopulation is a genetic programming library for Borland Delphi, C++ Builder, Kylix and Free Pascal. Symbolic Regression and GP Robots are two example applications for it.
A java framework for developing meta-heuristics that supports the use of grids environments. The meta-heuristics planned to be realeased are GAs, VNS and NNs. The grid middleware that will be firstly explored is the OurGrid solution.
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A command-line program to manipulate annotated genetic sequences (initially in EMBL format). The user supplies a pattern to identify which features or qualifiers to process. These can then be deleted, renamed etc
Java library devoted to handle Genetic Algorithms and Classifier Systems. It has been engineered to be used into agent based simulation models and to search bounded optimal solutions in wide solution spaces. It runs on distributed clusters.
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Kandid generates images using genetic algorithms. In a simulated evolution surprising images can be found calculated with Lisp expressions, Textures, Iterated Function Systems, Linear Cellular Automata, Voroni diagrams, Lindenmayer Systems and POVray
This is a cross-platform framework for using Genetic Algorithms for solutions. Written in Java and uses convinient plug-in features for every phase in the genetic development, while maintaining an easy-to-use API for easy integration into applications.
It moves by itself inside networks like virus infection & plagues, it is being written to solve computer virus problem drastically and responsibly. It is legal, free and open for public domain to improve W3 ICT Security.
K is a C++ library featuring Genetic Programming, cryptography, 64 bits arithmetic, cross-platform macros and unicode conversion routines. It compiles on NewtonOS, Mac < X, Unix and Windows and it makes little use of C++ templates.
Set of Java packages to apply Genetic Algorithms to any kind of problem. Various genetic operators are implemented and an example shows of how the system could be applied to digital circuit evolution.
Gazoo is a Java framework for genetic algorithms development. Gazoo provides the core of a genetic algorithm, leaving to the user the implementation of specific-problem classes.
EasyAI is a project to build classical AI program and method in Java language, such as resolution for logic, greedy search, genetic algorithm, neural network and so on...
IslandEv distributes a Genetic Algorithm (like <a href="/projects/jaga">JaGa</a>) across a network (see <a href="/projects/distrit">DistrIT</a>) using an island based coevolutionary model in which neighbouring islands swap migrating individuals every
Genetic Programming framework written in Python. Takes advantage of python\'s compiler to make things simple. Includes basic genetic operations (rank/roulette selection,crossover,mutation,steady state,elitistm ...)
Java based system for creating Bio-Musical Worlds. Investigating the use of AI (flocking,A-Life, Genetic Algorithms, Neural Networks) and other bio-modelling techniques for the creation and evolution of musical landscapes.
Solving the travelling salesman problem with genetic (evolutionary) algorithms. The distance calculations are based on geographical coordinates. The progress of the algorithm is visualized with a geo-map and some statistics.
The program implements John Koza's basic formulation of a genetic program. The application of the GP is John Sterman's beer game. The program is written in LISP, and executes in GNU clisp. I have run it successfully on both Linux and Windows.