Showing 4 open source projects for "muti-objective optimization"

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    Optimization.jl

    Optimization.jl

    Mathematical Optimization in Julia

    Optimization.jl provides the easiest way to create an optimization problem and solve it. It enables rapid prototyping and experimentation with minimal syntax overhead by providing a uniform interface to >25 optimization libraries, hence 100+ optimization solvers encompassing almost all classes of optimization algorithms such as global, mixed-integer, non-convex, second-order local, constrained, etc.
    Downloads: 0 This Week
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  • 2
    NLPModels.jl

    NLPModels.jl

    Data Structures for Optimization Models

    This package provides general guidelines to represent non-linear programming (NLP) problems in Julia and a standardized API to evaluate the functions and their derivatives. The main objective is to be able to rely on that API when designing optimization solvers in Julia.
    Downloads: 0 This Week
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  • 3
    ProximalAlgorithms.jl

    ProximalAlgorithms.jl

    Proximal algorithms for nonsmooth optimization in Julia

    A Julia package for non-smooth optimization algorithms. This package provides algorithms for the minimization of objective functions that include non-smooth terms, such as constraints or non-differentiable penalties.
    Downloads: 0 This Week
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  • 4

    iOVFDT

    iOVFDT algorithm of incremental decision tree

    ...Inheriting the use of Hoeffding bound in VFDT algorithm for node-splitting check, it contains four optional strategies of functional tree leaf, which improve the classifying accuracy. In addition, a multi-objective incremental optimization mechanism investigates a balance among accuracy, mode size and learning speed...
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