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Hyper-Heuristics

Hyper-heuristics are high-level methodologies that search over a space of heuristics rather than directly over the space of solutions. Introduced systematically by Burke et al. (2013) in their landmark survey, hyper-heuristics operate by selecting or generating low-level heuristics to solve hard combinatorial optimisation and search problems, aiming to automate the design of optimisation algorithms across diverse problem domains without requiring deep problem-specific knowledge.

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Hyper-Heuristics

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Burke, E. K., et al. (2013). Hyper-heuristics: A survey of the state of the art. Journal of the Operational Research Society, 64(12), 1695–1724. · DOI 10.1057/jors.2013.71

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Same method familyGenetic Algorithmmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMatheuristicsmachine-suggested · Relational suggestion, not evidence.Same method familyTabu Searchmachine-suggested · Relational suggestion, not evidence.