Showing 5 open source projects for "grammatical evolution"

View related business solutions
  • Achieve perfect load balancing with a flexible Open Source Load Balancer Icon
    Achieve perfect load balancing with a flexible Open Source Load Balancer

    Take advantage of Open Source Load Balancer to elevate your business security and IT infrastructure with a custom ADC Solution.

    Boost application security and continuity with SKUDONET ADC, our Open Source Load Balancer, that maximizes IT infrastructure flexibility. Additionally, save up to $470 K per incident with AI and SKUDONET solutions, further enhancing your organization’s risk management and cost-efficiency strategies.
  • The next chapter in business mental wellness Icon
    The next chapter in business mental wellness

    Entrust your employee well-being to Calmerry's nationwide network of licensed mental health professionals.

    Calmerry is beneficial for businesses of all sizes, particularly those in high-stress industries, organizations with remote teams, and HR departments seeking to improve employee well-being and productivity
  • 1

    Grammatical Optimization

    A java based framework for grammatical evolution.

    This project is a result for my curiosity for how grammatical evolution (GE) works. Eventually, I made this wrapper for GE that should work with any numerical optimization algorithm. So the idea behind GE is that it takes production rules for computer programs using a context free grammar in Backus Naur form. The production rules can be used to evolve computer programs by running an algorithm such as a genetic algorithm or a particle swarm optimizer in the background.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    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. In addition, the MOEA...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    EurekaOptima is a framework for optimization containing the implementation of several algorithms like Genetic Algorithm (GA), Clonal Selection Algorithm (CLONALG), Grammatical Evolution (GE), Differential Evolution (DE), and Evolution Strategy (ES).
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    EpochX
    EpochX is an open source genetic programming framework, specifically for analysing the properties of evolutionary automatic programming. It supports 3 popular representations - Strongly-Typed GP, Context-Free Grammar GP and Grammatical Evolution.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Automated RMM Tools | RMM Software Icon
    Automated RMM Tools | RMM Software

    Proactively monitor, manage, and support client networks with ConnectWise Automate

    Out-of-the-box scripts. Around-the-clock monitoring. Unmatched automation capabilities. Start doing more with less and exceed service delivery expectations.
  • 5
    This project provides a set of Python tools for creating various kinds of neural networks, which can also be powered by genetic algorithms using grammatical evolution. MLP, backpropagation, recurrent, sparse, and skip-layer networks are supported.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next