Search Results for "algorithm"
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Showing 16 open source projects for "algorithm"
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Genetic algorithm for EOM
A python GA code for EOM in SAXS/WAXS
Because GAjoe of ATSAS cannot deal with WAXS range, and no parameters can be modified. I made a code by myself to use GA for finding best EOM for SAXS/WAXS. The project need ATSAS crysol and a folder with multiple pdb files to use. -
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GenX
X-Ray and Neutron Reflectivity Modeling
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. -
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LabRPS
Random phenomena generator
This is an official mirror of LabRPS. Code and release files are primarily hosted on https://github.com/LabRPS/LabRPS and mirrored here LabRPS aims to be a tool for the numerical simulation of random phenomena such as stochastic wind velocity, seismic ground motion, sea surface ... etc. It can be in a wide range of uses around engineering, such as random vibration or vibration fatigue in mechanical engineering, buffeting analysis in bridge engineering.... LabRPS is mainly to assist... -
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As of August 2018 Spheral++ has moved to Github -- please see the current repository at https://github.com/jmikeowen/spheral We are leaving a frozen version here on SourceForge for historical reasons. Spheral++ provides a steerable parallel environment for performing coupled hydrodynamical & gravitational numerical simulations. Hydrodynamics and gravity are modelled using particle based methods (SPH and N-Body).
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TEACUP
TCP Experiment Automation Controlled Using Python
... congestion control algorithm), an experiment is made up of multiple tests. For each experiment and test, TEACUP collects a range of data, such as tcpdump files of traffic seen or TCP stack information (e.g. using Web10G). TEACUP also collects a variety of metadata from the end hosts and bottleneck router, such as the actual OS/kernel version(s) used. TEACUP also provides some simple tools for analysing the results of experiments, such as plotting a flow's experienced RTT over time. -
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pySimiam
Robot simulator inspired by Sim.I.Am
PySimiam is a robot simulator, created to follow the course "Control of Mobile Robots" offered at Coursera. The simulator models an arbitrary number of mobile robots in a 2D environment, each controlled by a arbitrary algorithm. -
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A toolkit in C++ and python to process both experimental and simulation data of colloidal particles. Includes among others * a multiscale particle tracking algorithm [1] whose C++ implementation is optimised for 3D confocal data. Python implementation is more versatile (2D and 3D data). * a Leica file reader, * Steindhard bond orientational order calculation * a VTK file writer 1. Leocmach, M. & Tanaka, H. A novel particle tracking method with individual particle size measurement...
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CAPLET
GDS visualization and parallelized capacitance extraction
Project CAPLET is a capacitance extraction toolkit that extract capacitance at field-solver accuracy. CAPLET can directly handle GDS2 layout files into capacitance matrices in both GUI and command line interfaces. The internal extraction algorithm is specialized for VLSI interconnect structures but not exclusively, as long as the structure is of Manhattan geometry and embedded in a uniform dielectric material. -
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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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A genetic algorithm in Python for evolving programs that write a given string to an allocated dataspace, using a made-up machine language with only 7 instructions and flow reversal.
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PGAF provides a framework tuned, user-specific genetic algorithms by handling I/O, UI, and parallelism. It is designed for optimizing functions that take a "very long time" to evaluate.
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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 genetic algorithm and Markov simulations are currently implemented.
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KU1K is a set of tools for 4D,5D and 6D compact U(1) lattice gauge theory Monte Carlo simulation using the Skipis-Vantzos algorithm. As the calculations involved, even for the 4D case, are consuming, the project is modular so as to run on the Grid.
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aVolve is an evolutionary/genetic algorithm designed to evolve single-cell organisms in a micro ecosystem. It currently uses the JGAP Genetic algorithm, but does include a primitive genetic algorithm written in Python.
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devsimpy
Python-based GUI for discrete-event system modeling and simulation
DEVSimPy is an advanced wxPython GUI for the modeling and simulation of systems based on the DEVS (Discrete EVent system Specification) formalism. Features include powerful built-in editor, advanced modeling approach, powerful discrete event simulation algorithm, import/export DEVS components library and more.
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