Automated Algorithm Discovery
Automated Algorithm Discovery is a computational methodology within genetic programming that systematically generates and optimizes algorithms through evolutionary mechanisms, distinguished by its ability to autonomously explore the space of possible algorithmic solutions without human intervention.
39
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5.5K
Citations
109
Authors
51
Institutions
Publications per year
2017–2026
14
Parents
39
Algorithm discovery by protein folding game players
Firas Khatib, Seth Cooper, Michael D. Tyka et al. · Proceedings of the National Academy of Sciences · 2011 · 619 citations · Full text
Genetic Programming II: Automatic Discovery of Reusable Programs.
Una-May O’Reilly · Artificial Life · 1994 · 467 citations
Discovering faster matrix multiplication algorithms with reinforcement learning
Alhussein Fawzi, Matej Balog, Aja Huang et al. · Nature · 2022 · 450 citations · Full text
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Stanford University
Stanford, United States
2 h-index
2 publications
37 citations
Institute for Interdisciplinary Studies of Austrian Universities
Vienna, Austria
1 h-index
1 publications
19 citations
University of Washington
Seattle, United States
1 h-index
7 publications
4.3K citations
University of Liège
Liège, Belgium
1 h-index
3 publications
39 citations
Varna University of Management
Dobrich, Bulgaria
1 h-index
1 publications
10 citations

National Laboratory of the Rockies
Golden, United States
1 h-index
4 publications
484 citations

University of Zagreb
Zagreb, Croatia
1 h-index
1 publications
39 citations
IMEC
Leuven, Belgium
1 h-index
3 publications
117 citations
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Repository · 4 publications · 476 citations
4
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Repository · 2 publications · 200 citations
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2 publications · 613 citations
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2 publications · 61 citations
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2 publications · 553 citations
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