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Generate complex SNP models and heterogeneous datasets
Genetic Architecture Model Emulator for Testing and Evaluating Software (GAMETES) is an algorithm for the generation of complex single nucleotide polymorphism (SNP) models for simulated association studies. GAMETES is designed to generate epistatic models which we refer to as pure and strict, that constitute the worst-case in terms of detecting disease associations, since such associations may only be observed if all n-loci are included in the disease model.
As of 2012-12-18, this project may now be found at Google Code.
As of 2012-12-18, this project may now be found at http://http://code.google.com/p/paba
JECO is a Evolutionary Computation Library deveoloped in Java. It includes a variety of evolutionary optimization techniques such as geneticalgorithm, genetic programming, evolutionary mapping methods, particle swarm optimization, ant colonies, etc.
This project is a complete cross-platform (Windows, Linux) framework for Evolutionary Computation in pure python. See the project site at http://pyevolve.sourceforge.net or the blog at http://pyevolve.sourceforge.net/wordpress
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The Automatic Model Optimization Reference Implementation, AMORI, is a framework that integrates the modelling and the optimization processes by providing a plug-in interface for both. A geneticalgorithm and Markov simulations are currently implemented.
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.
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.
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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.