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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.
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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.
A Gtkmm Othello-like game that supports one player ( with both random move selection and geneticalgorithm based selection), two players, and network play.
UbWator II is an artificial life simulation inspired by A. K. Dewdney, in his "Computer Recreations" article in the December, 1984 issue of Scientific American.
Moreover we are going to add some geneticalgorithm.
We start from an existing Delphi prog
PHP based Authentication code that makes HTML pages secure by authenticating users agianst a MySQL database. Uses a MD5 algorithm session id to futher secure a session.
Galileo is a library for developing custom distributed genetic algorithms developed in Python. It provides a robust set of objects that can be used directly or as the basis of derived objects. Its modularity makes it easy to extend the functionality. The
MAGMA: Multiobjective Analyzer for Genetic Marker Acquisition
A geneticalgorithm for generating SNP tiling paths from a large SNP database
based on the competing objectives of cost (number of SNPs) and coverage (haplotype blocks):
Hubley R., Zitzler
phpPedigree is intended to be an easy and inexpensive way for dog lovers worldwide to share pedigree and genetic information. The widely-available combination of MySQL and PHP has the potential for making such collaborations easier than ever before.
Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (geneticalgorithm) wrappers for feature selection. WEKA 3 interfaces are in development.
ga2 is a simple C++ library providing the necessary base classes to implement a geneticalgorithm in C++. It is based loosely on Goldberg's canonical GA, but with many modifications, improvements and additional features. Essentially feature-complete, and
Domigene is a geneticalgorithm API attempting to incorporate dominant and recessive genes. Supports modular evolution types, genetic programs, definable instruction sets, variation in population, chromosomes, mortality, mutation, fitness functions.
A GeneticAlgorithm Training System in Python.
Gatspy provides the framework, the user provides the error
(fitness) function. Gatspy will evolve a solution that
attempts to minimize the error.