Showing 61 open source projects for "genetic algorithm in matlab"

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  • 1
    Genetic Algorithm based software to resolve the Traveling Salesman Problem (Problema del Commesso Viaggiatore).
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  • 2
    Genetic Algorithm implementation.
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  • 3
    unEvo is an Eclipse plug-in that provides support for the experimentation and research process on Evolutionary Algorithms, intended so that the user can implement an evolutionary algorithm without lost time in the code of the algorithm.
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  • 4
    Application to test a GA solution for the Knapsack problem, it will compare Genetic Algorithm solution of the Knapsack problem to greedy algorithm.
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  • 5

    GENet

    A genetic algorithm framework for artificial neural networks.

    A genetic algorithm framework to allow the evolution of synapse weights and topologies of artificial neural networks.
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  • 6
    Integer Singular Value Decomposition Genetic Algorithm Function Fitter. This is an optimization algorithm that performs a similar role to a neural network.
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  • 7
    A Visual Studio .NET C++ application can perform machine learning using genetic algorithm, naive bayes, KNN, and Artificial Neural Networks (ANNs) read and processed from any standard ARFF.
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  • 8
    Evolutionary computation library and benchmark utility. Integer encoded genetic algorithm.
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  • 9

    biojazz

    In silico evolution of biochemical networks.

    In silico evolution of biochemical networks using a genetic algorithm combined with a rule-based biochemical network model.
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    The Original Buy Center Software.

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  • 10
    The SBMLevolver is an evolutionary algorithm package that creates SBML models with user-specified properties and behaviour from a given set of building blocks. Applications lie in network reconstruction and synthetic biology.
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  • 11
    cosmos

    cosmos

    Algorithms that run our universe | Your personal library of every algo

    Cosmos (by OpenGenus Foundation) is your personal offline collection of every algorithm and data structure one will ever encounter and use in a lifetime. This provides solutions in various languages spanning C, C++, Java, JavaScript, Swift, Python, Go and others. This work is maintained by a community of hundreds of people and is a massive collaborative effort to bring the readily available coding knowledge offline.
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