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Hyper-quicksort: energy efficient sorting via the Templar framework for Template Method Hyper-heuristics

Jeremiah Swan,Nathan Burles-2015-01-01-White Rose Research Online (University of Leeds, The University of Sheffield, University of York)

TL;DRAbstract

Scalability remains an issue for program synthesis: - We don’t yet know how to generate sizeable algorithms from scratch. - Generative approaches such as GP still work best at the scale of expressions (though some recent promising results). - Formal approaches require a strong mathematical background. - ... but human ingenuity already provides a vast repertoire of specialized algorithms, usually with known asymptotic behaviour. Given these limitations, how can we best use generative hyper-heuristics to improve upon human-designed algorithms?

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Scalability remains an issue for program synthesis: - We don’t yet know how to generate sizeable algorithms from scratch. - Generative approaches such as GP still work best at the scale of expressions (though some recent promising results). - Formal approaches require a strong mathematical background. - ... but human ingenuity already provides a vast repertoire of specialized algorithms, usually with known asymptotic behaviour. Given these limitations, how can we best use generative hyper-heuristics to improve upon human-designed algorithms?

Keywords

HeuristicsComputer scienceIngenuityQuicksortScalabilitySortingGenerative grammarTheoretical computer science

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