Evolutionary Algorithms
Evolutionary Algorithms is a class of population-based metaheuristic optimization algorithms that iteratively apply genetic operators such as mutation, crossover, and selection to evolve solutions toward optimal or near-optimal regions in a design space.
18.8K
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1.5M
Citations
32.1K
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2017–2026
5.8K
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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 modified particle swarm optimizer
Yibing Shi, R.C. Eberhart · 2002 · 10.2K citations
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Nanyang Technological University, Singapore
94 publications · 23.6K citations
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Nanyang Technological University
Singapore, Singapore
79 h-index
362 publications
62.5K citations

City University of Hong Kong
Hong Kong, Hong Kong
67 h-index
261 publications
28.7K citations

University of Birmingham
Birmingham, United Kingdom
63 h-index
256 publications
25.1K citations
TU Dortmund University
Dortmund, Germany
58 h-index
300 publications
34.3K citations

Universidad de Granada
Granada, Spain
56 h-index
320 publications
31.8K citations
National University of Singapore
Singapore, Singapore
55 h-index
270 publications
21K citations

South China University of Technology
Guangzhou, China
55 h-index
268 publications
21.3K citations
Tsinghua University
Beijing, China
55 h-index
234 publications
24.7K citations
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579 publications · 147.5K citations
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446 publications · 35.4K citations
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291 publications · 27.4K citations
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266 publications · 23K citations
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