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This project aims to improve the Civilization 4 AI using a geneticalgorithm. We also have some alternative AI algorithms which have been custom written that will hopefully also improve the AI.
DrPangloss is a python implementation of a three operator geneticalgorithm, complete with a java swing GUI for running the GA and visualising performance, generation by generation
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.
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.
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.
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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.
unEvo is an Eclipse plug-in that provides support for the experimentation and research process on Evolutionary Algorithms, intended so that the user can implement an evolutionary algorithm without lost time in the code of the algorithm.
The project´s name is Generic GeneticAlgorithm, Its an application that permits the use of a geneticalgorithm skeleton to solve a problem. The language is python. The os Debian. The objective is to unify geneticalgorithm practices in a generic aplicat
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!
MPIGALib is a parallelgenetic 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.
STAR, stand-alone advanced c++ algorithm library, addressing mathematical/statistical problems, genetic algorithms, and a framework of system functions (including, but not limited to, XML parsing and writing, sorting, hashing, etc.)
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.