Showing 4 open source projects for "nsga"

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    Evolutionary.jl

    Evolutionary.jl

    Evolutionary & genetic algorithms for Julia

    A Julia package for evolutionary & genetic algorithms. The package can be installed with the Julia package manager.
    Downloads: 6 This Week
    Last Update:
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  • 2
    MOEA Framework

    MOEA Framework

    A Free and Open Source Java Framework for Multiobjective Optimization

    ...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 Framework provides the tools necessary to rapidly design, develop, execute and statistically test optimization algorithms.
    Downloads: 0 This Week
    Last Update:
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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

    PyOptFrame-LEGACY

    PyOptFrame-LEGACY is Python OptFrame v2. Newest version v5 on github.

    ...The main objective is to provide the same interface to OptFrame C++ optimization framework, including classic metaheuristics such as genetic algorithms, simulated annealing, variable neighborhood search, first/best/multi-improvement, hill climbing, and multi-objective methods such as nsga-ii. See NEWEST version v5 on GitHub and PIP. Please try Official pyoptframe on https://pypi.org/project/optframe/ for OptFrame v5 (last updated 2022).
    Downloads: 0 This Week
    Last Update:
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