Search Results for "parallel genetic algorithm"

Showing 30 open source projects for "parallel genetic algorithm"

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  • 1
    pgapack, the parallel genetic algorithm library is a powerfull genetic algorithm library by D. Levine, Mathematics and Computer Science Division Argonne National Laboratory. The library is written in C. PGAPy wraps this library for use with Python.
    Downloads: 0 This Week
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  • 2
    The ASCO project aims to bring circuit optimization capabilities to existing SPICE simulators using a high-performance parallel differential evolution (DE) optimization algorithm. It supports Eldo, HSPICE, LTspice, Spectre, and Qucs.
    Downloads: 5 This Week
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  • 3

    Parallel MILC

    Parallel decompression for the MILC algorithm

    The MILC compression has been developed specifically for medical images and proven to be effective. This algorithm is a parallel version for the decompression phase, meant to exploit the parallel computing potential of the modern hardware. Developed with OpenCL framework (version 1.2), runs on CPU and GPU OpenCL devices.
    Downloads: 0 This Week
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  • 4

    CUDA-Quicksort

    CUDA-Quicksort: A GPU-based implementation of the quicksort algorithm

    CUDA-quicksort is a GPU-based implementation of the quicksort algorithm. CUDA-quicksort is designed to exploit the power computing of modern NVIDIA GPUs. "Two GPU-based implementations of the quicksort were presented in literature: the GPU-quicksort, a compute-unified device architecture (CUDA) iterative implementation, and the CUDA dynamic parallel (CDP) quicksort, a recursive implementation provided by NVIDIA Corporation."[*].
    Downloads: 1 This Week
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  • 5
    Eye candy showing parallel Conway's Life games in the bit planes of the screen, using boolean BitBlt operations. (Independently rediscovered algorithm given already in Smalltalk-80 Blue Book, by the inventors of BitBlt.)
    Downloads: 1 This Week
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  • 6

    Parallel Neural Networks

    Neural networks in CUDA & OpenCL with back propagation algorithm

    This project is my engineering diploma. It's aim is to compare the efficiency of both technologies and to check where which hacks works better. What is more one of my tasks is to compare different ways of decomposing computations in parallel.
    Downloads: 0 This Week
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  • 7

    Distributed Multithread Apriori (DMTA)

    A parallel implementation using MPI and OpenMP to Apriori algorithm

    DMTA (Distributed Multithreaded Apriori) is a parallel implementation of Apriori algorithm, which exploits the parallelism at the level of threads and processes, seeking to perform load balancing among the cores. Was implemented in C++ language, using the parallelization libraries OpenMP and MPI. The algorithm was generated as a result of a project developed by André Camilo Bolina, under the guidance of teachers Marluce Rodrigues Pereira, Ahmed Ali Abdalla Esmin and Denilson Alves Pereira, in Department of Computer Science at Federal University of Lavras. ...
    Downloads: 0 This Week
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  • 8

    GENIE (GEne-geNe IntEraction)

    GPU based Parallel Gene-Gene Interaction Analysis

    Gene-gene interaction in genetic association studies is computationally intensive when a large number of SNPs are involved. Most of the latest Central Processing Units (CPUs) have multiple cores, whereas Graphics Processing Units (GPUs) also have hundreds of cores and have been recently used to implement faster scientific software. However, currently there are no genetic analysis software packages that allow users to fully utilize the computing power of these multi-core devices for genetic...
    Downloads: 0 This Week
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  • 9
    The parallelized FDTD Schrodinger Solver implements a parallel algorithm for solving the time-independent 3d Schrodinger equation using the finite difference time domain (FDTD) method. See the Hosted Apps > MediaWiki menu item for more information.
    Downloads: 0 This Week
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  • 10

    libfgen

    Library for optimization using a genetic algorithm or particle swarms

    libfgen is a library that implements an efficient and customizable genetic algorithm (GA). It also provides particle swarm optimization (PSO) functionality and an interface for real-valued function minimization or model fitting. It is written in C, but can also be compiled with a C++ compiler. Both Linux and Windows are supported.
    Downloads: 0 This Week
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  • 11

    texgenpack

    Texture compression and conversion program with KTX and DDS support.

    texgenpack is a texture compression and conversion program featuring a command line utility and a simple GUI program . Compression is implemented using a genetic algorithm. It supports compression, decompression, conversion and comparison of texture and image files. The image format supported is PNG, while for textures there is support for KTX, PKM and DDS using ETC1, ETC2, DXT1/3/5 or BPTC (BC7) texture compression. Several uncompressed texture format are also supported. This program requires the installation of libfgen, also avalable on SourceForge.
    Downloads: 0 This Week
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  • 12

    Bouc-Wen-Baber-Noori model of hysteresis

    Compute parameters of the Bouc-Wen-Baber-Noori model of hysteresis

    ..."A Fast and Elitist multi-objective Genetic Algorithm: NSGA-II". Journal IEEE Transactions on Evolutionary Computation (IEEE-TEC). 2002. Vol. 6. No. 2. pp. 182-197. - Gilberto A. Ortiz, Diego A. Alvarez, Daniel Bedoya-Ruiz. "Identification of Bouc-Wen type models using multi-objective optimization algorithms". Computers & Structures. Vol. 114-115. pp. 121-132. 2013.
    Downloads: 0 This Week
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  • 13
    Alkindus is an automated solver for short monoalphabetic substitution ciphers without word divisions.
    Downloads: 0 This Week
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  • 14
    GA-Opt
    Developed as a final year project at Islamic University of Technology (IUT) during 2010 - 2011 academic year. This code is a simple implementation of real coded genetic algorithm for numerical optimization. Code is written in C/C++.
    Downloads: 0 This Week
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  • 15
    simple-galib
    This library is a lightweight implementation of genetic algorithm, contains the most popular types of chromosomes and the basic algorithms for selection, elitism, crossing and mutation.
    Downloads: 0 This Week
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  • 16
    Evolutionary Structural Optimization Package (ESOP) consists of software for viewing, analyzing, and optimizing structures containing beam, truss, and membrane plate elements utilizing OpenGL and the Genetic Algorithm (GA). Created for use in M.S. theses
    Downloads: 0 This Week
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  • 17
    This project implements the parallelized version of the LBG vector quantization algorithm on Cell Broadband Engine.
    Downloads: 0 This Week
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  • 18
    Searches for adecuate design for feedforward backpropagation neural network, employing genetic algorithm as refining engine. The result topolgy may not be orthodox.
    Downloads: 0 This Week
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  • 19
    czip is a unix based utility written for the cell broadband engine. It allows its users to compress files in gzip format. It uses Jean-loup Gailly's deflate algorithm and is based in part on pigz, Mark Adlers parallel version of zlib.
    Downloads: 0 This Week
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  • 20
    This project aims to create an application to solve the job shop schedule problem using genetic algorithm on the IBM Cell BE processor. This is useful especially using the power of Cell for the large scale job shop schedule problem.
    Downloads: 0 This Week
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  • 21
    This project is about an algorithm for multi-resolution texture systhesis on Cell.BE.There are there source code files.One is serial on x86.One is serial code on cell ppu,and the last is parallel code,which use ppu and 8 spus.
    Downloads: 0 This Week
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  • 22
    Modified NCBI Toolkit for Windows, added contextual BLAST algorithm.
    Downloads: 0 This Week
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  • 23
    This Project implements the mergesort algorithm in a MPICH2 (parallel programming -) environment.
    Downloads: 0 This Week
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  • 24
    A flexible programming library for evolutionary computation. Steady-state, generational and island model genetic algorithms are supported, using Darwinian, Lamarckian or Baldwinian evolution. Includes support for multiprocessor and distributed systems.
    Downloads: 7 This Week
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  • 25
    NullAllEst is the implementation of a maximum likelihood algorithm to estimate the frequency of a null allele in microsatellite genetic data. A Markov Chain Monte Carlo simulation is used to solve the likelihood function.
    Downloads: 0 This Week
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