Hyper-heuristics
Hyper-Heuristics is a high-level search methodology that operates on a space of low-level heuristics, distinguishing itself by selecting or generating heuristics dynamically during problem-solving rather than directly solving the problem instance.
283
Publications
13K
Citations
509
Authors
237
Institutions
Publications per year
2017–2026
118
Variants
Hyperheuristics
Parents
283
Hyper-heuristics: a survey of the state of the art
Edmund Burke, Michel Gendreau, Matthew Hyde et al. · Journal of the Operational Research Society · 2013 · 1.2K citations · Full text
Recent advances in selection hyper-heuristics
John H. Drake, Ahmed Kheiri, Ender Özcan et al. · European Journal of Operational Research · 2019 · 338 citations · Full text
1–5 of 283
509
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h-index
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1–5 of 509
237

University of Nottingham
Nottingham, United Kingdom
36 h-index
148 publications
12.9K citations
Tecnológico de Monterrey
Monterrey, Mexico
15 h-index
64 publications
1.5K citations

University of Stirling
Stirling, United Kingdom
14 h-index
22 publications
3.6K citations

Edinburgh Napier University
Edinburgh, United Kingdom
12 h-index
18 publications
839 citations

Victoria University of Wellington
Wellington, New Zealand
11 h-index
34 publications
1.6K citations
University of Nottingham Malaysia Campus
Semenyih, Malaysia
11 h-index
13 publications
1K citations

University of KwaZulu-Natal
Durban, South Africa
8 h-index
10 publications
293 citations

University of Essex
Colchester, United Kingdom
7 h-index
10 publications
335 citations
1–8 of 237
10 publications · 702 citations
10
h-index
10 publications · 469 citations
10
h-index
9 publications · 1.2K citations
9
h-index
12 publications · 464 citations
9
h-index
8 publications · 572 citations
8
h-index
1–5