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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
The Athlete is a virtual robot living in the ODE (Open Dynamics Engine)world. An evolution algorithm is implemented based on the DR-EA-M to optimize its performances. This involves a Geneticalgorithm, network of neurons and morphology. All is in java.
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
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GD is AI - ALife becoming true. It's a genetic engine server, capable to run any kind of geneticalgorithm. It has TCP architetcure, working with software clients and uman interaction. It has plugin capabilities and comes with a working Function Finder
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.
The goal of the Rats and Mazes project is to build a simple geneticalgorithm to find general solutions to random non-cyclic single path mazes. I believe that the solutions will tend towards either the right/left-hand rule.
aVolve is an evolutionary/geneticalgorithm designed to evolve single-cell organisms in a micro ecosystem. It currently uses the JGAP Geneticalgorithm, but does include a primitive geneticalgorithm written in Python.
GAZES - GeneticAlgorithm Zombie Eradication Simulation Grid-based simulator for zombie scenario. The units will use geneticalgorithm to determine their actions on a cycle by cycle basis. This is a school project, so is likely on hiatus for summer.
The SBMLevolver is an evolutionary algorithm package that creates SBML models with user-specified properties and behaviour from a given set of building blocks. Applications lie in network reconstruction and synthetic biology.
A genetic algoritm based system for generating profiled endwalls.
This code is based on the Durham Endwall Design System used to produce endwall designs for low speed linear cascades. It consists of a number of Octave scripts which run mesh generators and flow solvers and uses a geneticalgorithm to find the optimal solution.
A repository of grid computing student exercises. The repository currently contains a grid-enabled mergesort using Condor. Exercises to be developed include genome analysis, geneticalgorithm, integration, matrix multiply, ray tracing, etc.