Showing 5 open source projects for "genetic algorithm java"

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  • 1
    Geophysical Library is a C++-library to handle geophysical data. At the moment the focus is on magnetotelluric and seismic data. It also includes a genetic algorithm for data inversion, signal processing and statistics routines.
    Downloads: 2 This Week
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  • 2

    TimescapeGlobal

    a space-time interpolation geostatistical tool

    This software is a time-aware geostatistical tool. Including time variability adds further issues to the already complicated field of geostatistical interpolation. On the other hand, most of the distributions of variables used in Earth and environmental sciences show patterns of change over time, not only in space. This tool is a free, open-source software, based on a generalization of the Inverse Distance Weighted algorithm. It outputs three-dimensional, layered discrete models from which...
    Downloads: 0 This Week
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  • 3
    phenotemp

    phenotemp

    phenological trends using NOAA AVHRR time series

    Starting from GIMMS values as ascii data (each line will be treated as individual time series), the application can smooth the ts - values by applying different algorithm that are based on Fouriertransformation. Separation of seasonal figure as well as the detection of linear trends is possible. Possible breaks in longterm mean can be detected with a change-point analysis using CuSum algorithms. Phenological events such as start-of-season, day-of-max/day-of-min, end-of-season can be...
    Downloads: 0 This Week
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  • 4
    GISpatialNet is a Java-based tool for mapping network data (nodes and edges between them) to spatial coordinates; reformatting network and spatial data together; and calculating spatial network measures. Install by saving to c:\ drive and typing the following in a command line: java -jar c:\GISpatialNet-0.9b.jar
    Downloads: 0 This Week
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  • 5
    The Automatic Model Optimization Reference Implementation, AMORI, is a framework that integrates the modelling and the optimization processes by providing a plug-in interface for both. A genetic algorithm and Markov simulations are currently implemented.
    Downloads: 0 This Week
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