Showing 7 open source projects for "ant colony python"

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  • 1
    MYRA

    MYRA

    A collection of ACO algorithms for the data mining classification task

    MYRA is a collection of Ant Colony Optimization (ACO) algorithms for the data mining classification task. It includes popular rule induction and decision tree induction algorithms. The algorithms are ready to be used from the command line or can be easily called from your own Java code. They are build using a modular architecture, so they can be easily extended to incorporate different procedures and/or use different parameter values.
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    Downloads: 8 This Week
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  • 2
    GUI Ant-Miner is a tool for extracting classification rules from data. It is an updated version of a data mining algorithm called Ant-Miner (Ant Colony-based Data Miner).
    Downloads: 0 This Week
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  • 3
    This is a GUI, Java implementation of the Ant Colony Optimisation/Particle Swarm Optimisation (PSO/ACO2) rule induction algorithm. This project was inspired by Ant-Miner, but handles continuous attributes using PSO or now Differential Evolution.
    Downloads: 0 This Week
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  • 4
    Substitution cipher cracker based on ant colony optimization metaheuristic. Includes GUI. Everything is in czech because this is a school project :(
    Downloads: 0 This Week
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  • 5
    The Virtual Commons (http://commons.asu.edu) is an open software initiative devoted to computational experiments on collective action and resource governance and funded by Arizona State University's Center for Behavior, Institutions, and the Environment (http://cbie.asu.edu). NOTE: we've moved our development to GitHub at https://github.com/virtualcommons - please look for the latest versions there.
    Downloads: 0 This Week
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  • 6
    TACS (Trust Ant Colony System) is a Trust model for P2P, Ad-hoc and Wireless Sensor networks (also valid for multi-agent systems) based on the bio-inspired algorithm ACS (Ant Colony System).
    Downloads: 0 This Week
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  • 7
    Investigate and visualize ant-routing (or, Ant Colony Optimization)
    Downloads: 0 This Week
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