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  • evolutionaryalgorithm (22)

    Evolving Objects

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      Analyzed 27 days ago

    EO is a template-based, ANSI-C++ evolutionary computation library which helps you to write your own stochastic optimization algorithms insanely fast. With the help of EO, you can easily design evolutionary algorithms that will find solutions to virtually all kind of hard optimization problems ... [More] , from continuous to combinatorial ones. Designing an algorithm with EO consists in choosing what components you want to use for your specific needs, just as building a structure with Lego blocks. [Less]

    60.4K lines of code

    0 current contributors

    over 12 years since last commit

    6 users on Open Hub

    Inactive
    5.0
     
    0 Reviews
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    Mostly written in C++
    Licenses: lgpl
    Tags ai artificial-intelligence artificial_intelligence artificialintelligence c++ cma combinatorial_optimization combinatorialoptimization computationalintelligence cplusplus c++templates evolutionalgorithm 39 more...

    Opt4J

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      Analyzed 27 days ago

    Java framework for applying optimization algorithms like Evolutionary Algorithms, Particle Swarm Optimizers, or Simulated Annealing to arbitrary optimization problems.

    64.8K lines of code

    0 current contributors

    about 1 year since last commit

    4 users on Open Hub

    Very Low Activity
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    Mostly written in Java
    Licenses: mit
    Tags evolutionaryalgorithm framework geneticprogramming java optimization research

    Gemfony Optimization Library (Geneva)

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      Analyzed 28 days ago

    Geneva is a library written in C++ for performing parametric optimization in parallel on devices ranging from multi-processor machines over clusters to Grids and Cloud installations. Geneva currently supports Evolutionary Algorithms, Swarm Algorithms, Gradient Descents, a form of Simulated Annealing ... [More] as well as Parameter Scans. All algorithms act on the same data structures for the description of optimization problems, so that it becomes possible to "chain" different algorithms, making the result of one algorithm the input of another. [Less]

    0 lines of code

    2 current contributors

    about 5 years since last commit

    3 users on Open Hub

    Activity Not Available
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    Mostly written in language not available
    Licenses: AGPL3
    Tags ai boost c++ cloud cluster evolutionaryalgorithm geneticalgorithm gpgpu gradientdescent grid highperformancecomputing optimization 3 more...

    Java Genetic Algorithm Library

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      Analyzed 28 days ago

    An object oriented library of an Genetic Algorithm, implemented in Java. Clear separation of the several concepts of the algorithm, e.g. Gene, Chromosome, Genotype, Phenotype, Population and Fitness Function. The fitness calculation is parallelized.

    71.2K lines of code

    1 current contributors

    2 months since last commit

    1 users on Open Hub

    Very Low Activity
    5.0
     
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    Mostly written in Java
    Licenses: apache_2
    Tags algorithms artificialintelligence evolutionary evolutionaryalgorithm geneticalgorithm heuristicalgorithm optimization parallelized

    coconet

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      Analyzed 28 days ago

    Coconet is a program that generate and evolve feedfoward neural networks for classification problems.

    5.34K lines of code

    0 current contributors

    over 4 years since last commit

    1 users on Open Hub

    Inactive
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    Mostly written in C
    Licenses: gpl3_or_l...
    Tags classification_system evolutionaryalgorithm geneticalgorithm neuralnetworks

    MOEA Framework

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      Analyzed 28 days ago

    The MOEA Framework is an open source Java library for developing and experimenting with multiobjective evolutionary algorithms (MOEAs) and other general-purpose optimization algorithms and metaheuristics. A number of algorithms are provided out-of-the-box, including NSGA-II, ε-MOEA, GDE3 and MOEA/D. ... [More] In addition, third-party tools like JMetal and PISA directly integrate with the MOEA Framework. The MOEA Framework targets an academic audience, providing the resources necessary to rapidly design, develop, execute and statistically test optimization algorithms. This includes over 40 test problems from the literature, and a suite of statistical tools for comparing and analyzing algorithm performance. [Less]

    82.8K lines of code

    1 current contributors

    2 months since last commit

    1 users on Open Hub

    High Activity
    5.0
     
    0 Reviews
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    Mostly written in Java
    Licenses: lgpl3
    Tags ai algorithms artificial-intelligence artificial_intelligence artificialintelligence combinatorial_optimization combinatorialoptimization evolutionalgorithm evolutionary evolutionary-algorithm evolutionaryalgorithm evolutionary-algorithms 36 more...

    moses

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      Analyzed 28 days ago

    Meta-optimizing semantic evolutionary search (MOSES) is a new approach to program evolution, based on representation-building and probabilistic modeling. MOSES has been successfully applied to solve hard problems in domains such as computational biology, sentiment evaluation, and agent control. ... [More] Results tend to be more accurate, and require less objective function evaluations, in comparison to other program evolution systems. Best of all, the result of running MOSES is not a large nested structure or numerical vector, but a compact and comprehensible program written in a simple Lisp-like mini-language. For more information see: http://metacog.org/doc.html. Interested C++ developers, please drop in at #opencog on IRC.freenode.net. [Less]

    41.5K lines of code

    5 current contributors

    over 1 year since last commit

    0 users on Open Hub

    Very Low Activity
    0.0
     
    0 Reviews
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    Mostly written in C++
    Licenses: apache_2
    Tags artificialintelligence combinatorylogic evolutionaryalgorithm evolutionarycomputation evolutionaryprogramming geneticalgorithm geneticprogramming machinelearning particleswarmoptimization programevolution