Search Results for "parallel genetic algorithm"

Showing 8 open source projects for "parallel genetic algorithm"

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  • 1
    PlatEMO

    PlatEMO

    Evolutionary multi-objective optimization platform

    Evolutionary multi-objective optimization platform. PlatEMO consists of a number of MATLAB functions without using any other libraries. Any machines able to run MATLAB can use PlatEMO regardless of the operating system. PlatEMO includes more than ninety existing popular MOEAs, including genetic algorithm, differential evolution, particle swarm optimization, memetic algorithm, estimation of distribution algorithm, and surrogate model-based algorithm. Most of them are representative algorithms...
    Downloads: 2 This Week
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  • 2
    TIGRE

    TIGRE

    TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox

    ... aim is to provide a wide range of easy-to-use algorithms for the tomographic community "off the shelf". We would like to build a stronger bridge between algorithm developers and imaging researchers/clinicians by encouraging and supporting contributions from both sides to TIGRE.
    Downloads: 0 This Week
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  • 3
    High-performance package for SemiDefinite Programs The software SDPA (SemiDefinite Programming Algorithm) is one of the most efficient and stable software packages for solving SDPs based on the primal-dual interior-point method.
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    Downloads: 28 This Week
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  • 4
    Smart Algorithm

    Smart Algorithm

    Repository implementing a variety of intelligent algorithms

    Smart-Algorithm is a repository implementing a variety of intelligent / metaheuristic optimization algorithms (e.g. Genetic Algorithm, Ant Colony, Particle Swarm, Immune Algorithm). The implementations are provided in multiple languages (Java, Python, MATLAB). The repository’s aim is to offer reference implementations of “smart” algorithms for tasks like route planning, optimization, or algorithm learning.
    Downloads: 0 This Week
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  • 5
    UmUTracker

    UmUTracker

    A MATLAB program for 2D particle tracking or 3D DHM based tracking.

    We present a versatile and fast MATLAB program (UmUTracker) that automatically detects and tracks particles by analyzing long video sequences acquired by either light microscopy or digital holography microscopy (DHM). Our program finds the 2D particle center position using an isosceles triangle transform and the axial position by a fast implementation of Rayleigh-Sommerfeld numerical reconstruction algorithm using a one dimensional radial intensity profile. *Updates v1.1: 2017/11/21- Bug...
    Downloads: 2 This Week
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  • 6

    diauxic growth model ensemble

    An ensemble of models showing diauxic growth behavior

    An ensemble of mathematical model is presented that all show diauxic growth behaviour of a bacterial culture. Carbon catabolite repression (CCR) is the main mechanism controlling carbohydrate uptake in bacteria, and therefore also controlling whether or not different carbon sources are metabolized in parallel or sequentially. Although described as a paradigm of the regulation of bacterial metabolism, the underlying mechanisms remain controversial. The models in the ensemble can...
    Downloads: 0 This Week
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  • 7

    BiRW

    Bi-random Walks for Phenome-Genome Association Prediction

    The availability of ontologies and systematic documentations of phenotypes and their genetic associations has enabled large-scale network-based global analyses of the association between the complete collection of phenotypes (phenome) and genes. BiRW is a package designed for analysis and prediction of the phenome-genome associations. BiRW package contains a program for analysis of circular bigraphs (CBGs) and the bi-random walk (BiRW) algorithm to capture the CBG patterns in the networks...
    Downloads: 0 This Week
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  • 8

    Open Genetic Algorithm Toolbox

    This is a MATLAB toolbox to run a GA on any problem you want to model.

    This is a toolbox to run a GA on any problem you want to model. You can use one of the sample problems as reference to model your own problem with a few simple functions. You can collaborate by defining new example problems or new functions for GA, such as scaling, selection or adaptation methods. In that case, you should then include your credits in the file, upload it to matlab central and contact the author. Suggestions are also welcome but naturally I won't be able to attend...
    Downloads: 1 This Week
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