Search Results for "g code simulator"

The source code has been migrated and is now hosted on Github: https://github.com/jenetics/jenetics Jenetics is an advanced Genetic Algorithm, Evolutionary Algorithm and Genetic Programming library, respectively, written in modern day Java. It is designed with a clear separation of the several algorithm concepts, e. g. Gene, Chromosome, Genotype, Phenotype, Population and fitness Function.

This repository contains the most updated code version of MANTIS, the Multi-locus ANTIgenic Simulator R-package. MANTIS is developed and maintained by the Evolutionary Ecology of Infectious Disease (EEID) research group at the Department of Zoology, University of Oxford, UK. For theoretical background please refer to 'MANTIS: an R package that simulates multilocus models of pathogen evolution' (https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-015-0598-9 OPEN ACCESS) At the moment, MANTIS is not available on CRAN. ...

An open-source implementation of our network-based target deconvolution approach, named target addiction score (TAS). License: The TAS R-package is made available under the terms of the GNU General Public License, which means that the source code is freely available for use within other software, but if you alter the code and distribute it, you must make the new source code freely available as well. This software is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY. In case you use the package in your work, we do appreciate a citation to the publications below. ...

Moose is the core of a modern software platform for the simulation of neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, large networks, and systems-level processes. We have moved Github.com. This should be your source for the latest version of the code.

GENESIS (GEneral NEural SImulation System) is a software platform for the simulation of neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, large networks, and systems-level processes.

Java API for implementing any kind of Genetic Algorithm and Genetic Programming applications quickly and easily. Contains a wide range of ready-to-use GA and GP algorithms and operators to be plugged-in or extended. Includes Tutorials and Examples.

Cellular Automata simulator. Native code (fast) and modular design: update rule, topology, time, measurement, initialization are independant. No GUI (for now...): configuration file (commented default automatically generated) overridable by command line.