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Cited by 486

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Dynamic multi-swarm particle swarm optimizer

Liang, J.J., Suganthan, P.N.·2005·Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005.

Abstract

In this paper, a novel dynamic multi-swarm particle swarm optimizer (PSO) is introduced. Different from the existing multi-swarm PSOs and the local version of PSO, the swarms are dynamic and the swarms' size is small. The whole population is divided into many small swarms, these swarms are regrouped frequently by using various regrouping schedules and information is exchanged among the swarms. Experiments are conducted on a set of shifted rotated benchmark functions and results show its better performance when compared with some recent PSO variants.

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Metadata

Authors
Liang, J. J., & Suganthan, P. N.
Venue
Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005.
Publisher
IEEE
Published
2005-08-30
Pages
124-129
OpenAlex
W2138278080
Cited by
486
References
14
FWCI
6.68
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Dynamic multi-swarm particle swarm optimizer. https://app.cochat.ai/papers/10.1109/sis.2005.1501611
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Liang, J. J., & Suganthan, P. N. (2005). Dynamic multi-swarm particle swarm optimizer. Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005. https://doi.org/10.1109/sis.2005.1501611

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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.