Genetic Algorithm Portfolio Selection
Genetic Algorithm Portfolio Selection is a portfolio selection method that employs genetic algorithms—a class of evolutionary optimization techniques—to identify optimal or near-optimal asset allocations by iteratively evolving candidate solutions through processes analogous to natural selection, recombination, and mutation.
189
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11.4K
Citations
450
Authors
236
Institutions
Publications per year
2017–2026
51
Parents
189
Differential Evolution with DEoptim
David Ardia, Kris Boudt, Peter Carl et al. · The R Journal · 2011 · 231 citations · Full text
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University College London
London, United Kingdom
5 h-index
11 publications
210 citations
Amirkabir University of Technology
Tehran, Iran
5 h-index
9 publications
704 citations

City University of Hong Kong
Hong Kong, Hong Kong
5 h-index
10 publications
296 citations

Tamkang University
Taipei, Taiwan
5 h-index
11 publications
232 citations

National Sun Yat-sen University
Kaohsiung City, Taiwan
4 h-index
8 publications
142 citations

Universidad Autónoma de Madrid
Madrid, Spain
4 h-index
8 publications
566 citations

National University of Kaohsiung
Kaohsiung City, Taiwan
4 h-index
8 publications
127 citations
Tafresh University
Tafresh, Iran
3 h-index
3 publications
260 citations
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19 publications · 1.5K citations
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6 publications · 313 citations
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5 publications · 184 citations
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4 publications · 367 citations
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3 publications · 114 citations
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