Showing 50 open source projects for "genetic algorithm php"

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  • 1
    Generic System for Data Processing
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  • 2
    LazyEngine is a collection of Tools for PHP, C# and JavaScript (based on JQuery). The goal is to have a Library that contains most common functions daily used by software developers.
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  • 3
    An implementation of LAYAGEN G(Diego-Mas 2010) for solves the layout planning problem using a simple genetic algorithm, and fully written in GAMBAS
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  • 4
    This is implementation of parallel genetic algorithm with "ring" insular topology. Algorithm provides a dynamic choice of genetic operators in the evolution of. The library supports the 26 genetic operators. This is cross-platform GA written in С++.
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  • 5
    Chess Rating Management System
    This sofware is designed to help different chess clubs to set up their own rating system. It uses USCF approximation formulas for rating calculations. Working example at newarkcc.vfutbole.ru
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  • 6
    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.
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  • 7
    A Multi-objective evolutionary algorithm library
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  • 8
    A Tcl extension for genetic/evolutionary algorithm processing. It is using the GAUL library for the core functionality.
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  • 9
    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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  • 10
    A 2D rigid physics simulator and set of genetic algorithm tools. Evolve cute little walking creatures.
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  • 11
    This is a module that computes prayer times, sunrise, sunset and midnight.
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  • 12
    PHPNN Is an open source, GPL licensed, PHP class library for the easy creation and manipulation of Neural Network based artificial intelligence. This library is intended for use in experimentation, games, quality control, or any other purpose.
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  • 13
    JNSGA2 is a Java library with an implementation of the multi-objective genetic algorithm NSGA-II published by Deb et al.
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  • 14
    A framework for utilising the Genetic Algorithm in the domain of Game Theory
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  • 15
    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.
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  • 16
    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.
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  • 17
    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.
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  • 18
    Implement a scheduling algorithm to schedule classes at a university
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  • 19
    Genetic Algorithm implementation.
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  • 20
    It moves by itself inside networks like virus infection & plagues, it is being written to solve computer virus problem drastically and responsibly. It is legal, free and open for public domain to improve W3 ICT Security.
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  • 21

    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.
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  • 22
    Evolutionary computation library and benchmark utility. Integer encoded genetic algorithm.
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  • 23

    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.
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  • 24
    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.
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  • 25
    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.
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