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  • 1
    It moves by itself inside networks like virus infection & plagues, it is being written to solve computer virus problem drastically and responsibly. It is legal, free and open for public domain to improve W3 ICT Security.
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  • 2
    This is a cross-platform framework for using Genetic Algorithms for solutions. Written in Java and uses convinient plug-in features for every phase in the genetic development, while maintaining an easy-to-use API for easy integration into applications.
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  • 3
    SeedAI - Seed Artificial Intelligence is a project by seedai.com
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  • 4
    To work on a dhcpd.conf that everyone can use for multiple different dhcp servers on one system and for different reasons.
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  • 5
    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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  • 6
    a sandbox for trying my engine ideas
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  • 7
    Evolutionary computation library and benchmark utility. Integer encoded genetic algorithm.
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  • 8

    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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  • 9
    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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  • 10

    uealib

    Evolutionary algorithms library

    Фреймворк для работы с эволюционными алгоритмами, разрабатывается в Уральском государственном университете.
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  • 11

    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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