Selection Hyper-Heuristic Using a Portfolio of Derivative Heuristics

Abstract

Generally, we distinguish between two classes of hyper-heuristic approaches, heuristic selection and heuristic generation. The former one works with existing heuristics and tries to find their optimal order for solving the instance. The later approach automatically generates new heuristic. Here, these two approaches are combined so that, first, a number of… (More)
DOI: 10.1145/2739482.2764686

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Cite this paper

@inproceedings{Hruska2015SelectionHU, title={Selection Hyper-Heuristic Using a Portfolio of Derivative Heuristics}, author={Frantisek Hruska and Jir{\'i} Kubal{\'i}k}, booktitle={GECCO}, year={2015} }