Showing 11 open source projects for "optimization"

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  • 1
    Soot

    Soot

    Soot - A Java optimization framework

    Soot is a Java optimization framework. It provides four intermediate representations for analyzing and transforming Java bytecode. Baf: a streamlined representation of bytecode which is simple to manipulate. Jimple: a typed 3-address intermediate representation suitable for optimization. Shimple: an SSA variation of Jimple. Grimp: an aggregated version of Jimple suitable for decompilation and code inspection.
    Downloads: 0 This Week
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  • 2
    Spring Batch

    Spring Batch

    Spring Batch is a framework for writing batch applications using Java

    ...Spring Batch provides reusable functions that are essential in processing large volumes of records, including logging/tracing, transaction management, job processing statistics, job restart, skip, and resource management. It also provides more advanced technical services and features that will enable extremely high-volume and high performance batch jobs through optimization and partitioning techniques. Simple as well as complex, high-volume batch jobs can leverage the framework in a highly scalable manner to process significant volumes of information.
    Downloads: 0 This Week
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  • 3
    Artemis-odb

    Artemis-odb

    A continuation of the popular Artemis ECS framework

    ...Dozens of games with sources are available in the Game Gallery! Use it commercially! Expand your toolkit! Easy migration from Artemis clones. Optionally auto-pooled components and hotspot optimization via compile-time bytecode instrumentation. High performance, GC-friendly, less boilerplate! Automatic tracking, and maintenance of entity relationships.
    Downloads: 0 This Week
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  • 4
    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 Framework provides the tools necessary to rapidly design, develop, execute and statistically test optimization algorithms.
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  • 5
    SBSTFrame
    ...However, there are few tools available to the integration of these tools, which would be suitable for the application of SBST (Search Based Software Testing). Furthermore, such tools require an advanced knowledge of software testing techniques and optimization techniques. Thinking about it, the SBST Group from Informatics Institute at Universidade Federal de Goiás, are developing the SBSTFrame focuses in the integration of these two types of tools to facilitate the application of search techniques in problems of Software Testing area. The SBSTFrame plays the role of a top layer compared with software testing tools and frameworks of search techniques layer, to the communication between them could be done transparently to the user.
    Downloads: 0 This Week
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  • 6

    Factory Equipment Network Testing

    Measurement science-based performance & conformance testing framework

    ...This project will develop and deploy a measurement science-based performance and conformance testing framework to enable real-time factory floor monitoring and optimization of manufacturing applications.
    Downloads: 0 This Week
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  • 7
    SEAGE
    Search Agents - a framework for collaboration of meta-heuristic agents
    Downloads: 0 This Week
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  • 8
    gaKnn(Genetic Algorithm Optimized K Nearest Neighbor Classification framework) is a frameowork for KNN optimization with a genetic algorithm. The genetic algothm used for this is JGAP (http://jgap.sourceforge.net/).
    Downloads: 0 This Week
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  • 9
    The Open Optimization for Java provides a framework and the implementation of commonly-used algorithms found in Graph Theory and Network Optimization, e.g. shortest path and postman problem.
    Downloads: 0 This Week
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  • 10
    Combean is a Java framework for mathematical structures and optimization algorithms. Through a set of Java interfaces and JavaBeans-based config, Combean glues optimization codes together - leading to more interoperable, adaptable and flexible solutions.
    Downloads: 0 This Week
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  • 11
    Autofetch automates adding association prefetches to object queries. Prefetch is an optimization to reduce the number of round-trips to an object store. Autofetch is designed to integrate with different object persistence technologies such as Hibernate.
    Downloads: 0 This Week
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