Showing 6 open source projects for "genetic algorithm software"

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  • 1
    MolMarker

    MolMarker

    Java software to evaluate the results obtained by molecular markers

    ...MolMarker: A Simple Tool for DNA Fingerprinting Studies and Polymorphic Information Content Calculation. Diversity 2022, 14, 497. https://doi.org/10.3390/d14060497 Leave a review, please! Your opinion matters! :-) MolMarker is user-friendly software to help evaluate the research results obtained by molecular markers. The software can handle genetic (e.g. SSR) and biochemical (e.g. isozyme) data, can construct similarity matrices and UPGMA or NJ dendograms. It can calculate the frequencies of null alleles in the case of genetic data as well as H (heterosigosity) and PIC (polymorphic Information Content) values. ...
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  • 2

    Levenshtein distance Java Libarary

    Java library implementing Levensh distnce

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  • 3
    Bracer

    Bracer

    Repository has been moved to: http://dtitov.github.com/bracer

    Java library for parsing and evaluating math expressions. Javadoc is available at http://bracer.sourceforge.net/javadoc/ P.S. This library depends on Apache Commons Math, so don't forget to include commons-math-2.2.jar to your project.
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  • 4
    KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for data mining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.
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  • 5
    This project's goal is to implement Artificial Inteligence algorithms and make them available for any platform but especially for mobile devices. The main objective is to allow the community to develop better and more inteligent mobile games.
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  • 6
    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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