Dynamic Genetic Programming
Dynamic Genetic Programming is a variant of genetic programming distinguished by its adaptation of evolutionary parameters, operators, or problem representation during the evolutionary process in response to runtime conditions or performance feedback.
66
Publications
3K
Citations
192
Authors
109
Institutions
Publications per year
2017–2026
21
Parents
66
Genetic Programming II: Automatic Discovery of Reusable Programs.
Una-May O’Reilly · Artificial Life · 1994 · 467 citations
Jian Zhou, Behnam Yazdani Bejarbaneh, Danial Jahed Armaghani et al. · Bulletin of Engineering Geology and the Environment · 2019 · 102 citations
1–5 of 66
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Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes, France
2 publications · 60 citations
2
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2
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2
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1–5 of 192
109

Victoria University of Wellington
Wellington, New Zealand
6 h-index
17 publications
750 citations

University of Minnesota
Minneapolis, United States
3 h-index
4 publications
222 citations
University of the West of England
Bristol, United Kingdom
3 h-index
5 publications
77 citations

Augusta University
Augusta, United States
2 h-index
2 publications
151 citations

University of Milano-Bicocca
Milan, Italy
2 h-index
2 publications
70 citations

The University of Adelaide
Adelaide, Australia
2 h-index
2 publications
151 citations
Stanford University
Stanford, United States
2 h-index
2 publications
53 citations

South China University of Technology
Guangzhou, China
2 h-index
2 publications
34 citations
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4 publications · 70 citations
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4 publications · 156 citations
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4 publications · 286 citations
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2 publications · 553 citations
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2 publications · 45 citations
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