Search Results - "hyper-heuristics"

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    Hyper-heuristics for grouping problems by Elhag, Anas

    Published 2015
    Subjects: “…hyper-heuristics…”
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    A graph-based hyper heuristic for timetabling problems by Burke, Edmund, MacCloumn, Barry, Meisels, Amnon, Petrovic, Sanja, Qu, Rong

    Published 2007
    Subjects: “…Heuristics; Graph heuristics; Hyper-heuristics; Tabu search; Timetabling…”
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  5. 5

    A graph-based hyper heuristic for timetabling problems by Burke, Edmund, MacCloumn, Barry, Meisels, Amnon, Petrovic, Sanja, Qu, Rong

    Published 2007
    Subjects: “…Heuristics; Graph heuristics; Hyper-heuristics; Tabu search; Timetabling…”
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    Hyper-heuristics: a survey of the state of the art by Burke, Edmund, Gendreau, Michel, Hyde, Matthew, Kendall, Graham, Ocha, Gabriela, Özcan, Ender, Qu, Rong

    Published 2013
    Subjects: “…Hyper-heuristics; evolutionary computation; metaheuristics; machine learning; combinatorial optimisation; scheduling…”
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    A tensor based hyper-heuristic for nurse rostering by Asta, Shahriar, Özcan, Ender, Curtois, Tim

    Published 2016
    Subjects: “…Nurse rostering; Personnel scheduling; Data science; Tensor factorization; Hyper-heuristics…”
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    Automated generation of constructive ordering heuristics for educational timetabling by Pillay, Nelishia, Özcan, Ender

    Published 2017
    Subjects: “…Educational timetabling; Construction heuristics; Hyper-heuristics; Genetic programming; Genetic algorithms…”
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    Automating the packing heuristic design process with genetic programming by Burke, Edmund K., Hyde, Matthew R., Kendall, Graham, Woodward, John

    Published 2012
    Subjects: “…Genetic programming; genetic algorithms; evolutionary design; cutting and packing; hyper-heuristics…”
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    A hyper-heuristic approach to automated generation of mutation operators for evolutionary programming by Hong, Libin, Drake, John H., Woodward, John R., Özcan, Ender

    Published 2017
    Subjects: “…Evolutionary Programming; Genetic Programming; Automatic Design; Hyper-heuristics; Continuous Optimization…”
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