Particle swarm optimization: An overview. Poli, R., Kennedy, J., & Blackwell, T. Swarm Intelligence, 1(1):33–57, October, 2007. 9998 citations (Semantic Scholar/DOI) [2023-04-26]
Paper doi abstract bibtex Particle swarm optimization (PSO) has undergone many changes since its introduction in 1995. As researchers have learned about the technique, they have derived new versions, developed new applications, and published theoretical studies of the effects of the various parameters and aspects of the algorithm. This paper comprises a snapshot of particle swarming from the authors’ perspective, including variations in the algorithm, current and ongoing research, applications and open problems.
@article{poli_particle_2007,
title = {Particle swarm optimization: {An} overview},
volume = {1},
issn = {1935-3812, 1935-3820},
shorttitle = {Particle swarm optimization},
url = {http://link.springer.com/10.1007/s11721-007-0002-0},
doi = {10.1007/s11721-007-0002-0},
abstract = {Particle swarm optimization (PSO) has undergone many changes since its introduction in 1995. As researchers have learned about the technique, they have derived new versions, developed new applications, and published theoretical studies of the effects of the various parameters and aspects of the algorithm. This paper comprises a snapshot of particle swarming from the authors’ perspective, including variations in the algorithm, current and ongoing research, applications and open problems.},
language = {en},
number = {1},
urldate = {2023-04-20},
journal = {Swarm Intelligence},
author = {Poli, Riccardo and Kennedy, James and Blackwell, Tim},
month = oct,
year = {2007},
note = {9998 citations (Semantic Scholar/DOI) [2023-04-26]},
keywords = {/unread},
pages = {33--57},
}
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