Particle Swarm Optimization is a computational optimization algorithm belonging to the class of metaheuristic search techniques, distinguished by its simulation of social foraging behavior in swarms to iteratively explore and exploit solution spaces for finding optimal or near-optimal solutions.
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25.7K
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
A modified particle swarm optimizer
Yibing Shi, R.C. Eberhart · 2002 · 10.2K citations
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Huazhong University of Science and Technology
Wuhan, China
65 h-index
771 publications
39K citations
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Johor Bahru, Malaysia
61 h-index
672 publications
38.3K citations
Chinese Academy of Sciences
Beijing, China
59 h-index
727 publications
33.5K citations
Jilin University
Changchun, China
58 h-index
687 publications
62.3K citations
Amirkabir University of Technology
Tehran, Iran
57 h-index
418 publications
21.3K citations
Tsinghua University
Beijing, China
57 h-index
409 publications
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Nanyang Technological University
Singapore, Singapore
56 h-index
246 publications
35.9K citations
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Hong Kong, Hong Kong
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