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NullAllEst is the implementation of a maximum likelihood algorithm to estimate the frequency of a null allele in microsatellite genetic data. A Markov Chain Monte Carlo simulation is used to solve the likelihood function.
A Java implementation of the NEAT algorithm as created by Kenneth O Stanley. Also provides a toolkit for further experiments to be created and can provide both local and distributed learning environments.
OGA, Open GeneticAlgorithm implements the evolutionary genetic algorithms with an user interface in GTK+. The main goal of the program is solve complex problems using evolutionary algorithms like genetic algorithms or evolutionary strategies.
Galapagos is a GeneticAlgorithm framework written in Java 5 with the intended audience of undergraduates in an Artificial Intelligence class. The goal of Galapagos is usability: a competent student should be able to learn this library in an afternoon.
NeuroDraughts is a Draughts/Checkers game that teaches itself how to play through self play. It combines an Artificial Neural Network, trained by Temporal Difference Learning using some GeneticAlgorithm style behaviour.
musicomp is a program which most important element is an evolutionary algorithm which uses data mining methods as a fitness function to generate monophone melodies.
Flash/PHP adaptation of the XTEA encryption algorithm. Allows encryption/decryption of sensitive data using 128-bit key. May be used for network data (HTTP) or offline for implementations like secure CD-ROM projects.
PasswordChain is a secure Web-based password database designed to securely encrypt and store passwords. Data is encrypted using the Blowfish algorithm and stored in a MySQL database.
Molevolve is a Java library for running a GeneticAlgorithm to model the 3-dimensional structures of peptide chains from amino-acid sequences. Client code can specify its own peptide chain model, fitness functions and GA operations. Requires JDK 1.5.
Black Box GA provides a user, with a black box program to use a geneticalgorithm to help optimize problems, without the user coding a geneticalgorithm, or even understanding how a GeneticAlgorithm works!
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.
MPIGALib is a parallel genetic algorithms library built on Mathew Walls GALib and MPI that allows geneticalgorithm enthusiasts and researchers to parallelize there serial geneticalgorithm implementations.
EasyAI is a project to build classical AI program and method in Java language, such as resolution for logic, greedy search, geneticalgorithm, neural network and so on...
IslandEv distributes a GeneticAlgorithm (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
GALib, Java GeneticAlgorithm (JAR) library, models chromosomes as real numbers, characters, strings, and string sequences. Very easy to use, just extend one of the existing GA classes and implement your fitness function. Sample GAs included.
Gazoo is a Java framework for genetic algorithms development. Gazoo provides the core of a geneticalgorithm, leaving to the user the implementation of specific-problem classes.
Disk Optimizer selects files to be placed on any disk medium that will maximize the space used. It is very efficient in finding an optimum file set since it uses a GeneticAlgorithm instead of brute force.
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.
GACS (GeneticAlgorithm Class Scheduler) aims to provide to academic institutions an efficient and automatic way to generate their time scheduling for the classes that will be imparted in an academic period.
The Genetic Architecture Framework is intended to explore and experiment with artificial life techniques using a genetic base for the physical and neural networks for the brain, in a game based simulated world.