Suchergebnisse - "Performance Keywords Automatic Programming"

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  1. 1

    Graph structured program evolution with automatically defined nodes

    Autoren: Shinichi Shirakawa Tomoharu Nagao The Pennsylvania State University CiteSeerX Archives

    Weitere Verfasser: Shinichi Shirakawa Tomoharu Nagao The Pennsylvania State University CiteSeerX Archives

    Quelle: http://www.nlab.sogo1.ynu.ac.jp/~shirakawa/paper/gecco09_shirakawa.pdf.

    Schlagwörter: I.2.2 [Artificial Intelligence, Automatic Programming— program synthesis, I.2.8 [Artificial Intelligence, Problem Solving, Control Methods, and Search General Terms Algorithms, Experimentation, Performance Keywords Automatic Programming, Genetic Programming, Automati- cally Defined Function, Graph-based Genetic Programming, Graph Structured Program Evolution, Evolutionary Algo- rithm, Genetic Algorithm, Recursive Program

    Dateibeschreibung: application/pdf

    Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.595.3601; http://www.nlab.sogo1.ynu.ac.jp/~shirakawa/paper/gecco09_shirakawa.pdf

    Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.595.3601
    http://www.nlab.sogo1.ynu.ac.jp/~shirakawa/paper/gecco09_shirakawa.pdf

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  2. 2

    ynu.ac.jp

    Autoren: Shinichi Shirakawa Shintaro Ogino Ynu. Ac. Jp et al.

    Weitere Verfasser: Shinichi Shirakawa Shintaro Ogino Ynu. Ac. Jp et al.

    Quelle: http://www.cs.york.ac.uk/rts/docs/GECCO_2007/docs/p1686.pdf.

    Schlagwörter: General Terms Algorithms, Experimentation, Performance Keywords Automatic Programming, Genetic Programming, Graph-based Genetic Programming, Genetic Algorithm, factorial, Fibonacci sequence, exponentiation

    Dateibeschreibung: application/pdf

    Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.421.4117; http://www.cs.york.ac.uk/rts/docs/GECCO_2007/docs/p1686.pdf

    Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.421.4117
    http://www.cs.york.ac.uk/rts/docs/GECCO_2007/docs/p1686.pdf

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  3. 3

    Evolutionary Algorithm Considering Program Size: Efficient Program Evolution using GRAPE

    Autoren: Shinichi Shirakawa Tomoharu Nagao The Pennsylvania State University CiteSeerX Archives

    Weitere Verfasser: Shinichi Shirakawa Tomoharu Nagao The Pennsylvania State University CiteSeerX Archives

    Quelle: http://www.nlab.sogo1.ynu.ac.jp/~shirakawa/paper/gecco08_shirakawa.pdf.

    Schlagwörter: I.2.2 [Artificial Intelligence, Automatic Programming— program synthesis, I.2.8 [Artificial Intelligence, Problem Solving, Control Methods, and Search General Terms Algorithms, Experimentation, Performance Keywords Automatic Programming, Genetic Programming, Genera- tion Alternation Model, Graph-based Genetic Programming, Evolutionary Algorithm, Genetic Algorithm

    Dateibeschreibung: application/pdf

    Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.566.3207; http://www.nlab.sogo1.ynu.ac.jp/~shirakawa/paper/gecco08_shirakawa.pdf

    Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.566.3207
    http://www.nlab.sogo1.ynu.ac.jp/~shirakawa/paper/gecco08_shirakawa.pdf

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