Showing 19 open source projects for "genetic algorithm java"

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    Grafana: The open and composable observability platform

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  • 1
    Evolutionary Computation Framework

    Evolutionary Computation Framework

    C++ framework for application of any type of evolutionary computation.

    ECF is a framework intended for application of any type of evolutionary computation (GA/GP, DE, Clonalg, ES, PSO, ABC, GAn, local search...). It offers simplicity for the end-user (parameterless usage, tutorial) and customization for experienced EC practicioners.
    Downloads: 1 This Week
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  • 2
    GeneticSharp

    GeneticSharp

    GeneticSharp is a fast, extensible, multi-platform and multithreading

    GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs). Can be used in any kind of .NET 6, .NET Standard and .NET Framework apps, like ASP .NET MVC, ASP .NET Core, Blazor, Web Forms, UWP, Windows Forms, GTK#, Xamarin, MAUI and Unity3D games. GeneticSharp and extensions (TSP, AutoConfig, Bitmap equality, Equality equation, Equation solver, Function builder, etc). ...
    Downloads: 5 This Week
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  • 3
    Preesm
    PREESM provides a complete framework for fast prototyping. It generates a simulation and an optimized multiprocessor code from graph descriptions of algorithm and architecture. Please visit the project homepage at http://preesm.sourceforge.net.
    Downloads: 0 This Week
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  • 4
    crVCL PHP Framework

    crVCL PHP Framework

    Rapid Application Development Framework for PHP

    crVCL PHP Framework is based on PHP 5.4, Javascript 1.4 and CSS 2.1 (or higher). It provide classes and function for develop easy and fast web applications/webpages with graphical components. It give you more comfort in developing web applications with high usability. Rapid Application Development for PHP crVCL is inspired by JEDI VCL and Java Spring If you like the Project, donate it http://goo.gl/PYyiot for more visit the Website or take a look at the readme.txt More...
    Downloads: 0 This Week
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  • 5
    Solid Python

    Solid Python

    A comprehensive gradient-free optimization framework written in Python

    Solid is a Python framework for gradient-free optimization. It contains basic versions of many of the most common optimization algorithms that do not require the calculation of gradients, and allows for very rapid development using them.
    Downloads: 0 This Week
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  • 6
    MOEA Framework

    MOEA Framework

    A Free and Open Source Java Framework for Multiobjective Optimization

    The MOEA Framework is a free and open source Java library for developing and experimenting with multiobjective evolutionary algorithms (MOEAs) and other general-purpose multiobjective optimization algorithms. The MOEA Framework supports genetic algorithms, differential evolution, particle swarm optimization, genetic programming, grammatical evolution, and more. A number of algorithms are provided out-of-the-box, including NSGA-II, NSGA-III, ε-MOEA, GDE3 and MOEA/D. ...
    Downloads: 0 This Week
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  • 7
    This project is an extended implementation of Knuth's "Dancing Links" algorithm and some use cases (e.g. Sudoku).
    Downloads: 0 This Week
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  • 8
    JCLEC
    JCLEC is a general purpose evolutionary computation framework developed in Java. Some of its mains features are: multilevel architecture, highly reusable and integrable with other systems, easy to use and a lot of implemented algorithms and operation
    Downloads: 0 This Week
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  • 9
    Jenes - Genetic Algorithms for Java
    An optimized java library for genetic algorithms. The library is designed to be fast and memory light, but still very easy to use.
    Downloads: 0 This Week
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    eProcurement Software

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  • 10
    SEAGE
    Search Agents - a framework for collaboration of meta-heuristic agents
    Downloads: 0 This Week
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  • 11
    Framework for development of simple evolutionary algorithms / island models programs in distributed environment using MapReduce programming model based on hadoop.
    Downloads: 0 This Week
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  • 12
    This project is a complete cross-platform (Windows, Linux) framework for Evolutionary Computation in pure python. See the project site at http://pyevolve.sourceforge.net or the blog at http://pyevolve.sourceforge.net/wordpress
    Downloads: 0 This Week
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  • 13
    ProViz
    ProViz is a program visualization framework for Java. It is built as a plugin to the Eclipse IDE. (We are getting close to publishing resources and making this project distributable. Stay tuned!) A video demo: http://www.youtube.com/watch?v=BsoK1n-OM
    Downloads: 0 This Week
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  • 14
    Sleepwalker aims to provide a highly abstract, universal, reusable, extensible Java-based genetic algorithms framework which can be used as a basis for modelling and programming virtually any practical optimisation problem.
    Downloads: 0 This Week
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  • 15
    G.A.V. (Graph Algorithm Visualizer) is a tool that visualizes algorithms from graph theory. A step-by-step visualization from each different algorithm allows the user to understand the particular algorithm very easily.
    Downloads: 0 This Week
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  • 16
    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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  • 17
    The Drools.NET is a .NET port for Drools, which is a java Rules Engine based on Charles Forgy's Rete algorithm. Drools.NET enables .NET developers/Users to exploit the powerful Rule Engine like Drools through a completely managed .NET code base.
    Downloads: 0 This Week
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  • 18
    MAIF is developed in Java 5 (especially Generics) and aims at building AI algorithms, by concentrating onto the mapping of real-world problems, while abstracting from their inner working. It can be extended with new algorithms and problem representations.
    Downloads: 0 This Week
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  • 19
    A java framework for developing meta-heuristics that supports the use of grids environments. The meta-heuristics planned to be realeased are GAs, VNS and NNs. The grid middleware that will be firstly explored is the OurGrid solution.
    Downloads: 0 This Week
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