Showing 45 open source projects for "vba genetic algorithm"

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  • 1
    Game Toolbox is a C# assembly designed to facilitate the creation of games and game prototypes. It contains no graphics code, does not depend on XNA, and is Mono-compatible. It provides implementations of A*, GOAP, a genetic algorithm, and more.
    Downloads: 2 This Week
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  • 2
    A .net implementation of a framework for genetic algorithms. This tool enables programmers to write the "core" of their problem and have a genetic algorithm immediately setup for solving it.
    Downloads: 0 This Week
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  • 3
    gaKnn(Genetic Algorithm Optimized K Nearest Neighbor Classification framework) is a frameowork for KNN optimization with a genetic algorithm. The genetic algothm used for this is JGAP (http://jgap.sourceforge.net/).
    Downloads: 0 This Week
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  • 4
    Java API for implementing any kind of Genetic Algorithm and Genetic Programming applications quickly and easily. Contains a wide range of ready-to-use GA and GP algorithms and operators to be plugged-in or extended. Includes Tutorials and Examples.
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  • 5
    A Multi-objective evolutionary algorithm library
    Downloads: 0 This Week
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  • 6
    Evolve is a simulation written in java that uses the Genetic Algorithm to evolve intelligent agents acting in a rich environment.
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  • 7
    A 2D rigid physics simulator and set of genetic algorithm tools. Evolve cute little walking creatures.
    Downloads: 0 This Week
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  • 8
    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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  • 9
    JNSGA2 is a Java library with an implementation of the multi-objective genetic algorithm NSGA-II published by Deb et al.
    Downloads: 0 This Week
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  • 10
    Automatic test generation tool for Java, based on genetic algorithm.
    Downloads: 0 This Week
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  • 11
    A framework for utilising the Genetic Algorithm in the domain of Game Theory
    Downloads: 0 This Week
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  • 12
    A Java implementation of the NEAT algorithm as created by Kenneth O Stanley. Also provides a toolkit for further experiments to be created and can provide both local and distributed learning environments.
    Downloads: 0 This Week
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  • 13
    Galapagos is a Genetic Algorithm framework written in Java 5 with the intended audience of undergraduates in an Artificial Intelligence class. The goal of Galapagos is usability: a competent student should be able to learn this library in an afternoon.
    Downloads: 0 This Week
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  • 14
    musicomp is a program which most important element is an evolutionary algorithm which uses data mining methods as a fitness function to generate monophone melodies.
    Downloads: 0 This Week
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  • 15
    Genetic Algorithm implementation.
    Downloads: 0 This Week
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  • 16
    Galileo is a library for developing custom distributed genetic algorithms developed in Python. It provides a robust set of objects that can be used directly or as the basis of derived objects. Its modularity makes it easy to extend the functionality. The
    Downloads: 0 This Week
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  • 17
    ga2 is a simple C++ library providing the necessary base classes to implement a genetic algorithm in C++. It is based loosely on Goldberg's canonical GA, but with many modifications, improvements and additional features. Essentially feature-complete, and
    Downloads: 0 This Week
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  • 18
    Evolutionary computation library and benchmark utility. Integer encoded genetic algorithm.
    Downloads: 0 This Week
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  • 19

    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.
    Downloads: 0 This Week
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  • 20
    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.
    Downloads: 0 This Week
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