Search Results for "evolution"

GenX is a scientific program to refine x-ray refelcetivity, neutron reflectivity and surface x-ray diffraction data using the differential evolution algorithm. GenX is very modular and highly extensible and can be used as a general fitting program.

Insensitive (Incredible Nuclear Spin EvolutioN SImulation Tool Intended for Visual Education) is an application to simulate the NMR experiment based on the quantum mechanical density matrix formalism. It is available for Mac OS X 10.6 and above and iOS 5.1.1 and above. Please refer to the paper published in Concepts In Magnetic Resonance, 2011, 38A (2), 17-24.

Open Source MPS (OSMPS) is a collection of numerical routines for performing tensor network algorithms to simulate entangled, 1D many-body quantum systems. Our applications reach from ground state and excited states for statics to the dynamics of time-dependent Hamiltonians. We offer various time evolution methods with an emphasis on the support of long-range interactions through the matrix product state formalism. For more algorithms, see the list of features below. Please cite "M. L. Wall and L. D. Carr, New J. Phys. 14, 125015 (2012)" and "D. Jaschke, M. L. Wall, and L. D. Carr, Computer Physics Communications 225, 59–91 (2018)" if your publication involves OSMPS.

...The basic idea is to allow users to build arbitrarily complex interacting quantum systems out of free subsystems and interactions (elements), and simulate their time evolution with a number of available time-evolution drivers. C++QEDv2 specifies a small grammar to describe composite quantum systems. Apart from providing a number of elements out of the box, there are tools which facilitate the implementation of new elements. These are being added continuously, as the need arises. The principal concept of the design of C++QEDv2 is that all information available at compile time should be processed as such, with the help of TMP. ...

CASUP is a Cellular Automata (CA) library for HPC and supercomputers. It can be used in materials science (microstructure evolution, grain coarsening, fracture etc.), physics (Ising magnetisation) and for many other CA. If you use the library, please reference it as: A. Shterenlikht, L. Margetts, Three-dimensional cellular automata modelling of cleavage propagation across crystal boundaries in polycrystalline microstructures, Proc. Roy. Soc. A 471:20150039, DOI: http://dx.doi.org/10.1098/rspa.2015.0039. ...

...Stars and planets are simulated with plausible physical characteristics, based on user-adjustable parameters. An EtiC simulation run consists to generate a galaxy disk physical stars, associate planets to the stars, and for habitable planets, simulate the life stages evolution until extinction. A visual animation of the galaxy and user selection of highlighted star-planet objects is provided, together with statistics (25+ graphs) and estimates of Drake equation factors. The V2_1 provides several new features: planets surface magnetic field, reworked life stage transitions, integration of MW exoplanets catalog, planets view and graphs window optionally on different threads... ...

The "GeneticCode" C++ class is designed to generate versions of the genetic code subject to the requirements of the three major models of the genetic code origin and evolution (about these models see, e.g., Koonin & Novozhilov, 2009, IUBMB Life). This class was written specifically to perform statistical test for the paper Makukov & shCherbak (2017), but it might be used for a wider class of studies related to the genetic code. By default, the class "GeneticCode" generates alternative genetic codes, with the reqirement of block structure, and, optionally, with the assumption of stereochemical or biosynthetic models (to impose the assumption of the adaptive model, simply filter the codes using the error_cost() function). ...

Krowface (Krowdix 3.0) is a simulation and implementation tool of social networks. To visualize and analyze the evolution of different social networks in real time. And the creation of a social network, configuring the parameters that define it. All this through a simple web interface and user friendly.

This project is a modification of the original evolution simulation & artificial life project by Joan Queralt Molina: https://sourceforge.net/projects/biogenesis/ In both, the original project and this modification, 2-dimensional organisms consisting of line segments interact with each other, reproduce and evolve in time. Compared to the original project, this modification explores the following features: * alternative mutation mechanisms * an alternative stress-based aging mechanism It is based on the new_design branch of Biogenesis (https://sourceforge.net/p/biogenesis/git/ci/new_design/tree/), its source code can be obatained from http://sourceforge.net/p/biogenesisxmod/code/ci/xmod/tree/ If you want to post a review, remember that this is only a modification, so comment on my changes, not on the simulation. ...

...A probabilistic modeling approach is applied by solving the master equation in mitochondrial quality state space in the presence of fusion-fission events, decay of functional quality, mitophagy and mitochondrial biogenesis, as well as molecular damage originating from a random source or from infectious events during fusion and fission. The provided source code is written in C and performs the time integration of the master equation for the time-evolution of the probability to find mitochondria in states of quality q at time t. Output is generated in terms of data files and the graphical visualization of readout parameters is automatically performed using the Graphical Layout Engine (GLE; see: http://glx.sourceforge.net/). Please, send email to thilo.figge<at>hki-jena.de to request a copy of the source code.

The Mars Rover Simulator project is based on the evolutionary robotics paradigm where an artificial agent acquires its skills through the process of artificial evolution. This simulator can be useful to evolve neural network controllers for the rover

This is a C library with a set of functions that allow the user to evolve biological networks. The user provides a fitness function in C, and the library will do the rest. A few simulation algorithms and examples are included.

Morphid Academy is a virtual laboratory primarily for the study of evolution of physically simulated forms and their functions.

Ouroborus is an artificial life framework for mobile agents on a background of cellular automata. It can be used to teach and research topics such as population genetics, ecology and evolution. The demo includes a curses view and live Csound audio.

A free, open source, artificial life, genetic evolution simulation in which small creatures called Neds roam the world, mate with one another, harvest food, eat and eventually die.

The Distributed Genetic Programming Framework is a scalable Java genetic programming environment. It comes with an optional specialization for evolving assembler-syntax algorithms. The evolution can be performed in parallel in any computer network.

We experiment with Evolution of Artifical Neural Networks, combining the two fields of Evolutionary Computation and ANNs. Our methods are applied to a variety of interesting problems. To learn more, click on "Home Page", "Mail", or "Files".

The Brunswick Science Fair Project is an attempt to evolve code snippets into complex organisms. Programmed in Java

Simulation-System for cell-evolution according to Darwin's theories. The system consists of a server, simulation-units and several clients. The simulation can be computed by many computers simultaneously.

LineageEvolver is a simulation system for molecular evolution. Sequence evolution is simulated using modular processes such as substitutions, gene duplication/death, horizontal gene transfer, and more.

altruism xenophobia and evolution of cooperation in human beings

It's a program for calculating and visualizing evolutionary processes of cells in multidimensional spaces. Many cellular properties are involved (vitality, lifespan, ethnicity, growth medium), affected by mutation and accidental influences.