Genetic Algorithms
Genetic Algorithms is a computational optimization method within evolutionary algorithms that employs mechanisms inspired by biological evolution, such as selection, crossover, and mutation, to iteratively generate solutions to problems through successive generations of a population of candidate solutions.
46.3K
Publications
2.8M
Citations
81.5K
Authors
8.6K
Institutions
Publications per year
2017–2026
12.4K
Variants
Genetic Algorithm
Parents
46.3K
Genetic algorithms in search, optimization, and machine learning
Choice Reviews Online · 1989 · 49.3K citations
James Kennedy, R.C. Eberhart · 2002 · 47.5K citations
Riccardo Poli, James Kennedy, Tim Blackwell · Swarm Intelligence · 2007 · 21.4K citations
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy · 2002 · 14.9K citations
1–5 of 46.3K
81.5K
74
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University of Illinois Urbana-Champaign, United States
129 publications · 25.5K citations
66
h-index
66
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54
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51
h-index
1–5 of 81.5K
8.6K
Nanyang Technological University
Singapore, Singapore
83 h-index
685 publications
58K citations

Universidad de Granada
Granada, Spain
82 h-index
633 publications
66.5K citations

University of Tehran
Tehran, Iran
79 h-index
818 publications
40.8K citations
National University of Singapore
Singapore, Singapore
78 h-index
726 publications
44.6K citations
University of Illinois Urbana-Champaign
Urbana, United States
77 h-index
467 publications
49.2K citations

Huazhong University of Science and Technology
Wuhan, China
76 h-index
1.1K publications
59.7K citations

University of Birmingham
Birmingham, United Kingdom
70 h-index
370 publications
34.7K citations
Tsinghua University
Beijing, China
68 h-index
621 publications
36K citations
1–8 of 8.6K
557 publications · 162.3K citations
151
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799 publications · 59.1K citations
121
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202 publications · 37.7K citations
113
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966 publications · 64.2K citations
113
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492 publications · 44K citations
101
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1–5