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Cited by 1,745

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The Fully Informed Particle Swarm: Simpler, Maybe Better

Mendes, R., Kennedy, J., Neves, J.·2004·IEEE Transactions on Evolutionary Computation

Abstract

The canonical particle swarm algorithm is a new approach to optimization, drawing inspiration from group behavior and the establishment of social norms. It is gaining popularity, especially because of the speed of convergence and the fact that it is easy to use. However, we feel that each individual is not simply influenced by the best performer among his neighbors. We, thus, decided to make the individuals "fully informed." The results are very promising, as informed individuals seem to find better solutions in all the benchmark functions.

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Metadata

Authors
Mendes, R., Kennedy, J., & Neves, J.
Venue
IEEE Transactions on Evolutionary Computation
Published
2004-06
Volume
8
Issue
3
Pages
204-210
ISSN
1089-778X (ISSN-L)
OpenAlex
W2139339670
Cited by
1,745
References
2
FWCI
35.25
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Fully Informed Particle Swarm: Simpler, Maybe Better. https://app.cochat.ai/papers/10.1109/tevc.2004.826074
The paper
Mendes, R., Kennedy, J., & Neves, J. (2004). The Fully Informed Particle Swarm: Simpler, Maybe Better. IEEE Transactions on Evolutionary Computation. https://doi.org/10.1109/tevc.2004.826074

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