Showing 69 open source projects for "genetic algorithm in matlab"

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  • 1
    A 2D rigid physics simulator and set of genetic algorithm tools. Evolve cute little walking creatures.
    Downloads: 0 This Week
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  • 2
    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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  • 3
    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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  • 4
    Automatic test generation tool for Java, based on genetic algorithm.
    Downloads: 0 This Week
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  • 5
    A flexible programming library for evolutionary computation. Steady-state, generational and island model genetic algorithms are supported, using Darwinian, Lamarckian or Baldwinian evolution. Includes support for multiprocessor and distributed systems.
    Downloads: 7 This Week
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  • 6
    A framework for utilising the Genetic Algorithm in the domain of Game Theory
    Downloads: 0 This Week
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  • 7

    gaDesignLib

    Genetic algorithm for mechatronic product design

    This C++/STL library provides you with the basic genetic algorithms needed for engineering design, such as simple GA and variable population.
    Downloads: 0 This Week
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  • 8
    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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  • 9
    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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  • 10
    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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  • 11
    Implement a scheduling algorithm to schedule classes at a university
    Downloads: 0 This Week
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  • 12
    Genetic Algorithm implementation.
    Downloads: 0 This Week
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  • 13
    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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  • 14
    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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  • 15

    GENet

    A genetic algorithm framework for artificial neural networks.

    A genetic algorithm framework to allow the evolution of synapse weights and topologies of artificial neural networks.
    Downloads: 0 This Week
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  • 16
    Evolutionary computation library and benchmark utility. Integer encoded genetic algorithm.
    Downloads: 0 This Week
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  • 17

    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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  • 18
    The SBMLevolver is an evolutionary algorithm package that creates SBML models with user-specified properties and behaviour from a given set of building blocks. Applications lie in network reconstruction and synthetic biology.
    Downloads: 0 This Week
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  • 19
    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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