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Using selection to improve particle swarm optimization

Angeline, P.J.·2002·1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360)

Abstract

This paper describes a evolutionary optimization algorithm that is a hybrid based on the particle swarm algorithm but with the addition of a standard selection mechanism from evolutionary computations. A comparison is performed between the hybrid swarm and the ordinary particle swarm that shows selection to provide an advantage for some (but not all) complex functions.

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Metadata

Authors
Angeline, P. J.
Venue
1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360)
Publisher
IEEE
Published
2002-11-27
Pages
84-89
OpenAlex
W2105102593
Cited by
864
References
0
FWCI
23.38
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Using selection to improve particle swarm optimization. https://app.cochat.ai/papers/10.1109/icec.1998.699327
The paper
Angeline, P. J. (2002). Using selection to improve particle swarm optimization. 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360). https://doi.org/10.1109/icec.1998.699327

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.