Showing 7 open source projects for "eclipse-jpf"

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  • 1
    Evokit is an integrated environment for developing evolutionary computation algorithms. It is built around Java and the Eclipse platform, and will support several different libraries including ECJ.
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  • 2
    JCLEC
    JCLEC is a general purpose evolutionary computation framework developed in Java. Some of its mains features are: multilevel architecture, highly reusable and integrable with other systems, easy to use and a lot of implemented algorithms and operation
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  • 3

    EGA

    A novel and effictive GA algorithm to solve optimization problem

    Classical genetic algorithm suffers heavy pressure of fitness evaluation for time-consuming optimization problems. To address this problem, we present an efficient genetic algorithm by the combination with clustering methods. The high efficiency of the proposed method results from the fitness estimation and the schema discovery of partial individuals in current population and. Specifically, the clustering method used in this paper is affinity propagation. The numerical experiments...
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  • 4
    An enhanced Simulator based on Agent Grid Repast.It has some bugs cleared from Agent Grid Repast and has enhanced features on Group Selection Policy.
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  • 5
    Ky eshte nje projekt i HAPUR/FALAS per publikun Shqip-foles i cili permban nje seri Video-Kursesh, Udhezime, dhe Shembuj Kodi per gjuhe (web) si: XHTML, CSS, JS, PHP, AS3 etj. si dhe per Desktop: C++, Java, Adobe Air etj. + programe/praktika te ndryshme.
    Downloads: 0 This Week
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  • 6
    This project aims to create an open source genetic algorithms (GA) library for the IBM Cell BE processor. A well-documented implementation of GAs is provided, along with a number of sample fitness functions illustrating how to use the GA library.
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  • 7
    unEvo is an Eclipse plug-in that provides support for the experimentation and research process on Evolutionary Algorithms, intended so that the user can implement an evolutionary algorithm without lost time in the code of the algorithm.
    Downloads: 0 This Week
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