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Cited by 1,348

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Defining a Standard for Particle Swarm Optimization

Bratton, Daniel, Kennedy, James·2007·2007 IEEE Swarm Intelligence Symposium

Abstract

Particle swarm optimization has become a common heuristic technique in the optimization community, with many researchers exploring the concepts, issues, and applications of the algorithm. In spite of this attention, there has as yet been no standard definition representing exactly what is involved in modern implementations of the technique. A standard is defined here which is designed to be a straightforward extension of the original algorithm while taking into account more recent developments that can be expected to improve performance on standard measures. This standard algorithm is intended for use both as a baseline for performance testing of improvements to the technique, as well as to represent PSO to the wider optimization community

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Metadata

Authors
Bratton, D., & Kennedy, J.
Venue
2007 IEEE Swarm Intelligence Symposium
Publisher
IEEE
Published
2007-04
Pages
120-127
OpenAlex
W2139386984
Cited by
1,348
References
1
FWCI
30.36
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Defining a Standard for Particle Swarm Optimization. https://app.cochat.ai/papers/10.1109/sis.2007.368035
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Bratton, D., & Kennedy, J. (2007). Defining a Standard for Particle Swarm Optimization. 2007 IEEE Swarm Intelligence Symposium. https://doi.org/10.1109/sis.2007.368035

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