Showing 4 open source projects for "genetic algorithm java"

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  • 1

    Lab Studies

    Rediscover the Simplicity http://www.atgclabs.com/

    Help us to improve Animal Studies. We want to hear your feedback! Request new Animal Studies feature or module and receive a free Single User version with new feature. https://www.atgclabs.com/products/lp The Animal Studies stores and handles three classes of information: animal growth, phenotype screening and genotype analysis. Animal Studies requires minimal computing skills. Genetic and physiological data can be entered either manually or automatically when automated genotyping...
    Downloads: 0 This Week
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  • 2

    Animal Studies

    Animal Studies

    Help us to improve Lab Processes. We want to hear your feedback! Request new Lab Processes feature or module and receive a free Single User version with new feature. https://www.atgclabs.com/products/lp The Animal Studies module is a comprehensive and straightforward application specially designed for biologists and chemists who need to conduct a wide variety of tests and experiments on animals. Animal Studies requires minimal computing skills. Genetic and physiological data can be...
    Downloads: 0 This Week
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  • 3

    Lab Processes

    Rediscover the Simplicity http://www.atgclabs.com/

    Help us to improve Lab Processes. We want to hear your feedback! Request new Lab Processes feature or module and receive a free Single User version with new feature. https://www.atgclabs.com/products/lp Lab Processes is a comprehensive and straightforward application specially designed for biologists and chemists who need to conduct a wide variety of tests and experiments on animals. Lab Processes requires minimal computing skills. Genetic and physiological data can be entered either...
    Downloads: 0 This Week
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  • 4
    This project intends to create a bacteria simulator framework, with some realistic bacteria control methods based on chemical signaling, simple sensors, motors and neural networks. The bacteria will evolve in a genetic algorithm environment.
    Downloads: 0 This Week
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